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1

Raskin, Samuel David. "Chiral Principal Series Categories." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11525.

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This thesis begins a study of principal series categories in geometric representation theory using the Beilinson-Drinfeld theory of chiral algebras. We study Whittaker objects in the unramified principal series category. This provides an alternative approach to the Arkhipov-Bezrukavnikov theory of Iwahori-Whittaker sheaves that exploits the geometry of the Feigin-Frenkel semi-infinite flag manifold.
Mathematics
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2

Budden, Mark. "On the local coefficients of principal series representations of metaplectic groups /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3099612.

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3

DeFranco, Mario A. (Mario Anthony). "The unramified principal series of p-adic groups : the Bessel function." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90183.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 99-101).
Let G be a connected reductive group with a split maximal torus defined over a nonarchimedean local field. I evaluate a matrix coefficient of the unramified principal series of G known as the "Bessel function" at torus elements of dominant coweight. I show that the Bessel function shares many properties with the Macdonald spherical function of G, in particular the properties described in Casselman's 1980 evaluation of that function. The analogy I demonstrate between the Bessel and Macdonald spherical functions extends to an analogy between the spherical Whittaker function, evaluated by Casselman and Shalika in 1980, and a previously unstudied matrix coefficient.
by Mario A. DeFranco.
Ph. D.
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4

Poderzay, Regina Carmella. "Principal Series Representations of GL(2) Over Finite Fields." Youngstown State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1527607113143289.

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5

Cumberlege, Roy Charles. "The effectiveness of the Joint Building Contracts Committee Series 2000 Principal Building Agreement." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/768.

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With the growth experienced in the Building Industry, it is increasingly important to have a contract document that can be used on projects that is reasonably acceptable to all parties concerned. The objective of the research was to determine the effectiveness of the Joint Building Contracts Committee Series 2000 Principal Building Agreement (JBCC 2000 PBA)(Edition 4.1, March 2005) currently used in the Building Industry. The literature reviewed and results of quantitative research amongst contractors formed the basis of this study. The study revealed that the JBCC 2000 PBA is the most favourable contract document used by contractors in the Building Industry. With the inclusion of a range of construction guarantee alternatives in the contract document in lieu of the retention clause, more than half of the respondents have indicated that they are in favour of a retention clause to be included in the contract document as an alternative security option. The study also showed that there are still areas of concern with regards to the difficulty in interpreting and implementing numerous clauses of the document and that amendments were made to the document without legal advice, resulting in disputes. The research further also revealed that developing building contractors experience difficulties in general where the JBCC 2000 PBA is used as contract document on projects. There also seems to be no balance of risk between the employer and contractor in most cases where this contract document is used. The research concluded with proposals on revisions to some clauses to ensure a better contract document that will be acceptable to all contractors in the Building Industry and ultimately to be an internationally acceptable document.
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6

Zeng, Zhanggui. "Financial Time Series Analysis using Pattern Recognition Methods." University of Sydney, 2008. http://hdl.handle.net/2123/3558.

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Doctor of Philosophy
This thesis is based on research on financial time series analysis using pattern recognition methods. The first part of this research focuses on univariate time series analysis using different pattern recognition methods. First, probabilities of basic patterns are used to represent the features of a section of time series. This feature can remove noise from the time series by statistical probability. It is experimentally proven that this feature is successful for pattern repeated time series. Second, a multiscale Gaussian gravity as a pattern relationship measurement which can describe the direction of the pattern relationship is introduced to pattern clustering. By searching for the Gaussian-gravity-guided nearest neighbour of each pattern, this clustering method can easily determine the boundaries of the clusters. Third, a method that unsupervised pattern classification can be transformed into multiscale supervised pattern classification by multiscale supervisory time series or multiscale filtered time series is presented. The second part of this research focuses on multivariate time series analysis using pattern recognition. A systematic method is proposed to find the independent variables of a group of share prices by time series clustering, principal component analysis, independent component analysis, and object recognition. The number of dependent variables is reduced and the multivariate time series analysis is simplified by time series clustering and principal component analysis. Independent component analysis aims to find the ideal independent variables of the group of shares. Object recognition is expected to recognize those independent variables which are similar to the independent components. This method provides a new clue to understanding the stock market and to modelling a large time series database.
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7

Zorn, Christian Alexander. "Computing local L-factors for the unramified principal series of Sp₂(F) and its metaplectic cover." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6769.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.
Thesis research directed by: Mathematics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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8

Schweickart, Ian R. W. "Investigating Post-Earnings-Announcement Drift Using Principal Component Analysis and Association Rule Mining." Scholarship @ Claremont, 2017. https://scholarship.claremont.edu/hmc_theses/94.

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Post-Earnings-Announcement Drift (PEAD) is commonly accepted in the fields of accounting and finance as evidence for stock market inefficiency. Less accepted are the numerous explanations for this anomaly. This project aims to investigate the cause for PEAD by harnessing the power of machine learning algorithms such as Principle Component Analysis (PCA) and a rule-based learning technique, applied to large stock market data sets. Based on the notion that the market is consumer driven, repeated occurrences of irrational behavior exhibited by traders in response to news events such as earnings reports are uncovered. The project produces findings in support of the PEAD anomaly using non-accounting nor financial methods. In particular, this project finds evidence for delayed price response exhibited in trader behavior, a common manifestation of the PEAD phenomenon.
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9

Porzio, Lindsay Crump. "Perceptions of the Role of the Principal in the Development, Implementation, and Continuation of a Series Reading Program." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103176.

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Elementary students continue to read below proficiency levels. Principals play a key role in the reading programs at their school. The purpose of this study was to identify perceptions of selected elementary principals and teachers regarding the principal's role in the development, implementation, and continuation of an effective series reading program. Through this study, factors contributing to the success or failure of the principal's role in a series reading program were suggested. A qualitative research design was used with semi-structured interviews to determine the perceptions of principals and teachers regarding the role of the principal in the development, implementation, and continuation of a series reading program. Principals and teachers were interviewed from elementary schools in Alabama and Nevada. The findings from the research provide principals and division leaders a compendium of strategies and themes to be used to implement and continue a successful series reading program. The findings suggest that principals empower and motivate teachers and staff to implement new and continue existing reading programs by modeling it themselves, that principals allocate funding for series reading books to add to the collection of books at the school, and that a principal's literacy background and personal experiences influence the effectiveness of a series reading program. Principals and teachers that indicated reading books in a series was beneficial to struggling readers and students new to learning English (L2), and that the series reading program promoted adult-student relationships supportive of increased reading volume. Implications for school leaders and principals are shared as well as suggestions for future research.
Doctor of Education
The purpose of the study was to identify perceptions of selected elementary principals and teachers regarding the role of the principal in the development, implementation, and continuation of an effective series reading program. Through this study, factors contributing to the success or failure of the principal's role in a series reading program were suggested. Principals and teachers were interviewed from elementary schools in Alabama and Nevada. The findings suggest that principals empower and motivate teachers and staff to implement new and continue existing reading programs by modeling it themselves, that principals allocate funding for series reading books to add to the collection of books at the school, and that a principal's literacy background and personal experiences influence a series reading program. Principals and teachers indicated that reading books in a series was beneficial to struggling readers and students new to learning English (L2), and that the series reading program promoted adult-student relationships supportive of increased reading volume. Implications for school leaders and principals are shared as well as suggestions for future research.
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10

Dutilleul, Pierre, and Claudine Till. "Detection of Atypical Years in the Tree-Ring Series by Construction of a Temporal Walk in the Principal Components Planes." Tree-Ring Society, 1989. http://hdl.handle.net/10150/261884.

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The purpose of this paper is to introduce a method for identifying years of anomalous radial growth, which are called atypical years and are characterized by particularly narrow rings for certain trees or sites, and wide for the others. With this aim, we use principal components analysis (PCA) of tree -ring series, where years are the variables and trees or sites are the individuals, even though in classical dendrochronological applications of PCA, the trees or sites are considered as variables and the years as cases. The relevant method is explained and results are given for five cedar forests (Cedrus atlantica (Endl.) Carrière) in Morocco.
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11

Antunes, Roberto Luiz dos Santos. "Variação espaço-temporal de NDVI em área de aproveitamento hidroelétrico - UHE Santo Antônio, Porto Velho (RO)." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/61679.

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Esta pesquisa analisa a variação espaço-temporal de NDVI (Índice de Vegetação da Diferença Normalizada) em área de aproveitamento hidroelétrico, na UHE Santo Antônio, Porto Velho, Rondônia. Para tanto elabora mapeamento do uso e cobertura do solo a partir de imagem Landsat TM nas seguintes classes: Floresta Ombrófila Aberta, Floresta Ombrófila Densa, Desmatamento, Queimadas e Solo exposto; obtém uma série temporal de imagens de NDVI/MODIS para o período 2000-2011; gera espectros temporais; relaciona os padrões a partir da série temporal de imagens MODIS com as classes de uso e cobertura do solo; analisa a variação espaço-temporal de NDVI com base em Análise de Séries Temporais, a partir de CP’s (Componentes Principais). As técnicas para identificação de padrões a partir de Análise de Séries Temporais e de análise dos espectros temporais de índices de vegetação se constituem em uma importante ferramenta na avaliação e monitoramento da variação da vegetação ao longo do tempo. A área da UHE Santo Antonio é caracterizada pela sazonalidade de períodos secos e chuvosos bem definidos, o que permitiu identificar padrões sazonais. Quanto a análise por Componentes Principais esta técnica mostrou-se um bom método para identificar a variação da cobertura vegetal e avaliar as mudanças na cobertura da terra. A análise dos resultados do mapeamento do uso do solo evidenciou o seguinte: uma grande dificuldade em separar no processo de classificação digital as duas classes de floresta; extensas áreas de solo exposto, desmatamento e queimadas no entorno do rio Madeira e nas áreas próximas a UHE Santo Antonio. Com relação aos espectros temporais, as variações nos valores de NDVI apresentam duas variações bem definidas: uma relacionada a sazonalidade dos períodos úmido e seco, e outra relacionada a mudança de uso e ocupação do solo, como a retirada da vegetação existente e as queimadas. Os resultados das Componentes Principais são relativos as variações expressas nas três primeiras CP’s da série da seguinte forma: (a) com todas as imagens; (b) somente período seco e somente período chuvoso; (c) por cada ano da série. A CP1 do conjunto (a) apresentou um percentual de representatividade de 85,83%, com valores de NDVI altos e homogêneos para a cobertura florestal, indicando significativa presença de biomassa, já que os valores altos relacionam-se aos padrões encontrados em classes de vegetação. Na CP2 e CP3 de (a) (b) e (c) a variação expressa permitiu identificar as áreas de queimadas e principalmente as etapas de transformação das áreas de florestas até os desmatamentos mais recentes.
This research examines the spatio-temporal variability of NDVI (Normalized Difference vegetation index) in hydroelectric area, in Santo Antônio hpp, Porto Velho, Rondônia. From Landsat TM image, elaborates mapping of use and soil coverage in the following classes: Open Evergreen forest, dense Ombrophilous Forest Fires, deforestation, and soil exposed; Gets a time series of images of NDVIMODIS for the period 2000-2011; generates time spectrum; lists the patterns from the time series of MODIS images with the classes of land cover and use; examines the spatio-temporal variability of NDVI based on time series Analysis, from CP's (main components). The techniques for identifying patterns from time series analysis and temporal Spectra analysis of vegetation indexes are an important tool in the evaluation and monitoring of vegetation change over time. The area of Santo Antonio hydroelectric power plant is characterized by seasonality of rainy and dry periods well defined, which allowed to identify seasonal patterns. The technique of analysis by principal components proved to be a good method to identify the variation of vegetation cover and assess the changes in coverage of the Earth. The analysis of the results of the mapping of land use showed the following: a great difficulty in separating the digital classification process the two classes of forest; extensive areas of exposed soil, deforestation and burning around the Madeira River and in areas near the Santo Antonio hydroelectric power plant. With respect to temporal changes in spectra, NDVI values have two well-defined variations: one related to seasonality of wet and dry periods, and another related to change of use and occupation of the soil, such as the withdrawal of existing vegetation and fire. The results of the main components are related to changes expressed in the first three CP's series as follows: (a) with all images; (b) when only dry and rainy period only; (c) for each year of the series. The CP1 (a) presented a percentage of representativeness of 85.83 NDVI values high and homogeneous for forest cover, indicating significant presence of biomass, since the high values relate to patterns found in vegetation classes. In CP2 and CP3 (a) (b) and (c) the change expressed identified the areas burned and mainly the processing steps of forest areas up to the latest deforestation.
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12

Kidzinski, Lukasz. "Inference for stationary functional time series: dimension reduction and regression." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209226.

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Les progrès continus dans les techniques du stockage et de la collection des données permettent d'observer et d'enregistrer des processus d’une façon presque continue. Des exemples incluent des données climatiques, des valeurs de transactions financières, des modèles des niveaux de pollution, etc. Pour analyser ces processus, nous avons besoin des outils statistiques appropriés. Une technique très connue est l'analyse de données fonctionnelles (ADF).

L'objectif principal de ce projet de doctorat est d'analyser la dépendance temporelle de l’ADF. Cette dépendance se produit, par exemple, si les données sont constituées à partir d'un processus en temps continu qui a été découpé en segments, les jours par exemple. Nous sommes alors dans le cadre des séries temporelles fonctionnelles.

La première partie de la thèse concerne la régression linéaire fonctionnelle, une extension de la régression multivariée. Nous avons découvert une méthode, basé sur les données, pour choisir la dimension de l’estimateur. Contrairement aux résultats existants, cette méthode n’exige pas d'assomptions invérifiables.

Dans la deuxième partie, on analyse les modèles linéaires fonctionnels dynamiques (MLFD), afin d'étendre les modèles linéaires, déjà reconnu, dans un cadre de la dépendance temporelle. Nous obtenons des estimateurs et des tests statistiques par des méthodes d’analyse harmonique. Nous nous inspirons par des idées de Brillinger qui a étudié ces models dans un contexte d’espaces vectoriels.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished

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13

DeWalt, Heather A. "Evaluating 25 Years of Environmental Change Using a Combined Remote Sensing Earth Trends Modeling Approach: A Northern California Case Study." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1320356566.

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14

Fatah, Kiar, and Taariq Nazar. "Stock Market Prediction With Deep Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293853.

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Due to the unpredictability of the stock market,forecasting stock prices is a challenging task. In this project,we will investigate the performance of the machine learningalgorithm LSTM for stock market prediction. The algorithmwill be based only on historical numerical data and technicalindicators for IBM and FORD. Furthermore, the denoising anddimension reduction algorithm, PCA, is applied to the stockdata, to examine if the performance of forecasting the stockprice is greater than the initial model. A second method, transferlearning, is applied by training the model on the IBM datasetand then applying it on the FORD dataset, and vice versa, toevaluate if the results will improve. The results show that whenthe PCA algorithm is applied to the dataset separately, and incombination with transfer learning, the performance is greater incomparison to the initial model. Moreover, the transfer learningmodel is inconsistent as the performance is worse for FORD inrespect to the initial model, but better for IBM. Thus, concerningthe results when forecasting stock prices using related tools, it issuggested to use trial and error to identify which of the modelsthat performs the optimally.
Att förutse aktiekurser är en utmanande uppgift. Detta beror på aktiemarknadens oförutsägbarhet. Därför kommer vi i detta projekt att undersöka prestandan för maskininlärnings algoritmen LSTMs prognosförmåga för aktie priser. Algoritmen baseras endast på historisk numerisk data och tekniska indikatorer for företagen IBM och FORD. Vidare tillämpas brus minskande och dimension reducerande algorithmen, PCA, på aktiedata för att undersöka om prestandan för att förutse aktie priser är bättre än den ursprungliga modellen. En andra metod, transfer learning, tillämpas genom att träna modellen på IBM data och sedan använda den på FORD data, och vice versa, för att utvärdera om resultaten kommer att förbättras. Resultaten visar, när PCA-algoritmen tillämpas på aktiedata separat, och i kombination med transfer learning är prestandan bättre jämfört med bas modellen. Vidare kan vi inte dra slutsatser om transfer learning då prestandan är sämre för FORD med avseende på bas modellen, men bättre för IBM. I hänsyn till resultaten så föreslås det att man tillämpar modellerna för att identifiera vilken som är mest optimal när man arbetar i ett relaterat ämnesområde.
Kandidatexjobb i elektroteknik 2020, KTH, Stockholm
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Magidi, James Takawira. "Spatio-temporal dynamics in land use and habit fragmentation in Sandveld, South Africa." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7886_1297841126.

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This research assessed landuse changes and trends in vegetation cover in the Sandveld, using remote sensing images. Landsat TM satellite images of 1990, 2004 and 2007 were classified using the maximum likelihood classifier into seven landuse classes, namely water, agriculture, fire patches, natural vegetation, wetlands, disturbed veld, and open sands. Change detection using remote sensing algorithms and landscape metrics was performed on these multi-temporal landuse maps using the Land Change Modeller and Patch Analyst respectively. Markov stochastic modelling techniques were used to predict future scenarios in landuse change based on the classified images and their transitional probabilities. MODIS NDVI multi-temporal datasets with a 16day temporal resolution were used to assess seasonal and annual trends in vegetation cover using time series analysis (PCA and time profiling).Results indicated that natural vegetation decreased from 46% to 31% of the total landscape between 1990 and 2007 and these biodiversity losses were attributed to an increasing agriculture footprint. Predicted future scenario based on transitional probabilities revealed a continual loss in natural habitat and increase in the agricultural footprint. Time series analysis results (principal components and temporal profiles) suggested that the landscape has a high degree of overall dynamic change with pronounced inter and intra-annual changes and there was an overall increase in greenness associated with increase in agricultural activity. The study concluded that without future conservation interventions natural habitats would continue to disappear, a condition that will impact heavily on biodiversity and significant waterdependent ecosystems such as wetlands. This has significant implications for the long-term provision of water from ground water reserves and for the overall sustainability of current agricultural practices.

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Oliveira, Leticia Celise Ballejo de. "Dinâmica temporal do NDVI de remanescentes das fitofisionomias da Mata Atlântica, Bacia do Rio dos Sinos, RS." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/87959.

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O presente trabalho visa analisar a partir da variação temporal de NDVI, o comportamento da vegetação remanescente das fitofisionomias da Mata Atlântica, na bacia hidrográfica do rio dos Sinos, RS. Para isso utilizou-se uma série temporal de imagens de NDVI do sensor MODIS, englobando o período de 2000 a 2011. A partir dessas imagens foram gerados espectros temporais de NDVI para cada fitofisionomia remanescente presente na bacia. Também empregou-se a Análise por Componentes Principais (ACP) no conjunto de imagens. Como resultados, observou-se através da análise da série temporal de NDVI/MODIS, um padrão sazonal das fitofisionomias da Mata Atlântica. Os espectros temporais revelaram a sazonalidade da vegetação influenciada principalmente pela temperatura, onde no inverno o NDVI atingiu seus menores valores e no verão seus maiores valores. A ACP mostrou-se uma técnica eficiente para analisar a variação espaço-temporal do NDVI na bacia dos Sinos, entretanto, foi ineficiente para distinguir as fitofisionomias presentes na bacia. Assim, conclui-se que, a utilização de séries temporais em estudos ambientais envolvendo o Sensoriamento Remoto é um importante recurso no monitoramento temporal dos recursos naturais e na detecção de possíveis alterações da sua dinâmica.
The present work analyzes, from the temporal variation of NDVI, the behavior of the remaining vegetation phytophysiognomies of the Atlantic Forest, in the basin of the Rio dos Sinos, RS. For this we used a time series of images of the MODIS NDVI, encompassing the period 2000-2011. From these images were generated spectra temporal NDVI for each vegetation type remaining in this basin. Also we used the Principal Component Analysis (PCA) on the set of images. As a result, it was observed by analyzing the time series of NDVI / MODIS a seasonal pattern of vegetation types of the Atlantic. The temporal spectra revealed the seasonality of vegetation influenced primarily by temperature, where in winter the NDVI reached its lowest values, and in summer the higher values. The PCA proved to be an efficient technique to analyze the spatial-temporal variation of NDVI in the basin of the Sinos. However, it was inefficient to distinguish vegetation types present in the basin. Thus, it is concluded that the use of time series in environmental studies involving remote sensing is an important feature in the temporal monitoring of natural resources and the detection of possible changes in their dynamics.
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Hauseux, Julien. "Extensions entre séries principales p-adiques et modulo p d'un groupe réductif p-adique déployé." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112411/document.

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Cette thèse est une contribution à l'étude des représentations p-adiques (c'est-à-dire continues unitaires sur des espaces de Banach p-adiques) et modulo p (c'est-à-dire lisses sur un corps fini de caractéristique p) d'un groupe réductif p-adique déployé G.Nous déterminons les extensions entre séries principales p-adiques et modulo p de G Pour cela, nous calculons le delta-foncteur H•OrdB des parties ordinaires dérivées d'Emerton relatif à un sous-groupe de Borel sur une série principale en utilisant une filtration de Bruhat.Nous déterminons également les extensions d'une série principale par une représentation ordinaire (c'est-à-dire obtenue par induction parabolique à partir d'une représentation spéciale du Levi tordue par un caractère), ainsi que les extensions de Yoneda de longueur supérieure entre séries principales modulo p sous une conjecture d'Emerton vraie pour GL2.Nous montrons de plus qu'il n'existe pas de « chaîne » de trois séries principales p-adiques ou modulo p distinctes de G. Pour cela, nous calculons partiellement le delta-foncteur H•OrdP relatif à un sous-groupe parabolique quelconque sur une série principale. En exploitant ce résultat, nous prouvons une conjecture de Breuil et Herzig sur l'unicité de certaines représentations p-adiques de G dont les constituants sont des séries principales, ainsi que son analogue modulo p.Enfin, nous énonçons une nouvelle conjecture sur les extensions entre représentations modulo p irréductibles de G obtenues par induction parabolique à partir d'une représentations supersingulière du Levi. Nous prouvons cette conjecture pour les extensions par une série principale
This thesis is a contribution to the study of p-adic (i.e. unitary continuous on p-adic Banach spaces) and mod p (i.e. smooth over a finite field of characteristic p) representations of a split p-adic reductive group G.We determine the extensions between p-adic and mod p principal series of G. In order to do so, we compute Emerton's delta-functor H•OrdB of derived ordinary parts with respect to a Borel subgroup on a principal series using a Bruhat filtration.We also determine the extensions of a principal series by an ordinary representation (i.e. parabolically induced from a special representation of the Levi twisted by a character), as well as the Yoneda extensions of higher length between mod p principal series under a conjecture of Emerton true for GL2.Moreover, we show that there exists no “chain” of three distinct p-adic or mod p principal series of G. In order to do so, we partially compute the delta-functor H•OrdP with respect to any parabolic subgroup on a principal series. Exploiting this result, we prove a conjecture of Breuil and Herzig on the uniqueness of certain p-adic representations of G whose constituents are principal series, as well as its mod p analogue.Finally, we formulate a new conjecture on the extensions between irreducible mod p representations of G parabolically induced from a supersingular representation of the Levi. We prove this conjecture for extensions by a principal series
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18

Nemoto, Takahiro. "Phenomenological structure for large deviation principle in time-series statistics." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199092.

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Hu, Wenbiao. "Applications of Spatio-temporal Analytical Methods in Surveillance of Ross River Virus Disease." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16109/.

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The incidence of many arboviral diseases is largely associated with social and environmental conditions. Ross River virus (RRV) is the most prevalent arboviral disease in Australia. It has long been recognised that the transmission pattern of RRV is sensitive to socio-ecological factors including climate variation, population movement, mosquito-density and vegetation types. This study aimed to assess the relationships between socio-environmental variability and the transmission of RRV using spatio-temporal analytic methods. Computerised data files of daily RRV disease cases and daily climatic variables in Brisbane, Queensland during 1985-2001 were obtained from the Queensland Department of Health and the Australian Bureau of Meteorology, respectively. Available information on other socio-ecological factors was also collected from relevant government agencies as follows: 1) socio-demographic data from the Australia Bureau of Statistics; 2) information on vegetation (littoral wetlands, ephemeral wetlands, open freshwater, riparian vegetation, melaleuca open forests, wet eucalypt, open forests and other bushland) from Brisbane City Council; 3) tidal activities from the Queensland Department of Transport; and 4) mosquito-density from Brisbane City Council. Principal components analysis (PCA) was used as an exploratory technique for discovering spatial and temporal pattern of RRV distribution. The PCA results show that the first principal component accounted for approximately 57% of the information, which contained the four seasonal rates and loaded highest and positively for autumn. K-means cluster analysis indicates that the seasonality of RRV is characterised by three groups with high, medium and low incidence of disease, and it suggests that there are at least three different disease ecologies. The variation in spatio-temporal patterns of RRV indicates a complex ecology that is unlikely to be explained by a single dominant transmission route across these three groupings. Therefore, there is need to explore socio-economic and environmental determinants of RRV disease at the statistical local area (SLA) level. Spatial distribution analysis and multiple negative binomial regression models were employed to identify the socio-economic and environmental determinants of RRV disease at both the city and local (ie, SLA) levels. The results show that RRV activity was primarily concentrated in the northeast, northwest and southeast areas in Brisbane. The negative binomial regression models reveal that RRV incidence for the whole of the Brisbane area was significantly associated with Southern Oscillation Index (SOI) at a lag of 3 months (Relative Risk (RR): 1.12; 95% confidence interval (CI): 1.06 - 1.17), the proportion of people with lower levels of education (RR: 1.02; 95% CI: 1.01 - 1.03), the proportion of labour workers (RR: 0.97; 95% CI: 0.95 - 1.00) and vegetation density (RR: 1.02; 95% CI: 1.00 - 1.04). However, RRV incidence for high risk areas (ie, SLAs with higher incidence of RRV) was significantly associated with mosquito density (RR: 1.01; 95% CI: 1.00 - 1.01), SOI at a lag of 3 months (RR: 1.48; 95% CI: 1.23 - 1.78), human population density (RR: 3.77; 95% CI: 1.35 - 10.51), the proportion of indigenous population (RR: 0.56; 95% CI: 0.37 - 0.87) and the proportion of overseas visitors (RR: 0.57; 95% CI: 0.35 - 0.92). It is acknowledged that some of these risk factors, while statistically significant, are small in magnitude. However, given the high incidence of RRV, they may still be important in practice. The results of this study suggest that the spatial pattern of RRV disease in Brisbane is determined by a combination of ecological, socio-economic and environmental factors. The possibility of developing an epidemic forecasting system for RRV disease was explored using the multivariate Seasonal Auto-regressive Integrated Moving Average (SARIMA) technique. The results of this study suggest that climatic variability, particularly precipitation, may have played a significant role in the transmission of RRV disease in Brisbane. This finding cannot entirely be explained by confounding factors such as other socio-ecological conditions because they have been unlikely to change dramatically on a monthly time scale in this city over the past two decades. SARIMA models show that monthly precipitation at a lag 2 months (=0.004,p=0.031) was statistically significantly associated with RRV disease. It suggests that there may be 50 more cases a year for an increase of 100 mm precipitation on average in Brisbane. The predictive values in the model were generally consistent with actual values (root-mean-square error (RMSE): 1.96). Therefore, this model may have applications as a decision support tool in disease control and risk-management planning programs in Brisbane. The Polynomial distributed lag (PDL) time series regression models were performed to examine the associations between rainfall, mosquito density and the occurrence of RRV after adjusting for season and auto-correlation. The PDL model was used because rainfall and mosquito density can affect not merely RRV occurring in the same month, but in several subsequent months. The rationale for the use of the PDL technique is that it increases the precision of the estimates. We developed an epidemic forecasting model to predict incidence of RRV disease. The results show that 95% and 85% of the variation in the RRV disease was accounted for by the mosquito density and rainfall, respectively. The predictive values in the model were generally consistent with actual values (RMSE: 1.25). The model diagnosis reveals that the residuals were randomly distributed with no significant auto-correlation. The results of this study suggest that PDL models may be better than SARIMA models (R-square increased and RMSE decreased). The findings of this study may facilitate the development of early warning systems for the control and prevention of this widespread disease. Further analyses were conducted using classification trees to identify major mosquito species of Ross River virus (RRV) transmission and explore the threshold of mosquito density for RRV disease in Brisbane, Australia. The results show that Ochlerotatus vigilax (RR: 1.028; 95% CI: 1.001 - 1.057) and Culex annulirostris (RR: 1.013, 95% CI: 1.003 - 1.023) were significantly associated with RRV disease cycles at a lag of 1 month. The presence of RRV was associated with average monthly mosquito density of 72 Ochlerotatus vigilax and 52 Culex annulirostris per light trap. These results may also have applications as a decision support tool in disease control and risk management planning programs. As RRV has significant impact on population health, industry, and tourism, it is important to develop an epidemic forecast system for this disease. The results of this study show the disease surveillance data can be integrated with social, biological and environmental databases. These data can provide additional input into the development of epidemic forecasting models. These attempts may have significant implications in environmental health decision-making and practices, and may help health authorities determine public health priorities more wisely and use resources more effectively and efficiently.
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20

Castro, Maria Cristina Felippetto de. "Predição não-linear de series temporais usando redes neurais RBF por decomposição em componentes principais." [s.n.], 2001. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260700.

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Orientador : Dalton Soares Arantes
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: Esta tese apresenta uma nova técnica de predição não-linear de séries temporais através de redes neurais artificiais do tipo Radial Basis Function, com atribuição dos centros Gaussianos das funções de base radial por decomposição do espaço de dados em sub-espaços. A decomposição em sub-espaços - ou decomposição em componentes principais - é baseada na Transformada Karhunen-Loeve. A predição obtida através da parametrização da rede neural via decomposição em sub-espaços resulta em um menor erro de predição e requer o conhecimento de um menor número de amostras prévias do que as técnicas de predição convencionais. Adicionalmente é apresentada uma possível solução para o problema de adaptar dinamicamente a arquitetura da rede neural às não­estacionariedades presentes em muitas séries temporais
Abstract: This thesis proposes a new technique for non-linear time series forecasting based upon Radial Basis Function Neural Networks and the Karhunen-Loeve Transform. A significant performance improvement is obtained with the novel technique in comparison with usual prediction methods. By obtaining the neural network centers from the data set sub-spaces - or data set principal components - the new method yields lower prediction error and requires less previous known samples than the usual technique that applies the own training set vectors to the centers. Additionally we present a possible solution to the problem of dynamically adapting the neural network architecture to the time-varying series statistics
Doutorado
Doutor em Engenharia Elétrica
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Tourasse, Guillaume. "Mesure et Analyse Statistique Tout Temps du Spectre du Rayonnement Solaire." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSET014/document.

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Ce document présente la mise en place d’un système de mesure des éclairements énergétiques spectraux solaires pour tout type de temps, sur 4 plans. Les 4 spectromètres mesurent au total 900 spectres/min et produisent chacun un spectre/min moyen et son écart type. Entre 2014 et 2015, 700 000 spectres ont été enregistrés sur un domaine compris entre 400 et 1000 nm avec un pas ≤1 nm. Un échantillon de 145 000 spectres représentatifs du climat lyonnais a été sélectionné pour une analyse statistique. Pour ce faire, l’échantillon a été réduit par partitionnement à 1175 spectres. Son domaine spectral a été étendu de 280 à 1500 nm à l’aide du RTM SMARTS. Une ACP de cet échantillon extrapolé a permis d’en réduire la description à 3 composantes et ainsi de réviser le modèle des illuminants D de la CIE. Enfin, la relation entre composition spectrale et paramètres environnementaux ou colorimétriques ouvre une voie vers des modèles statistiques de génération de spectres du rayonnement solaire
This manuscript presents the design and setup of an all-weather spectral irradiance measurement system on 4 planes. The 4 spectrometers measure a total of 900 spectra/min to produce every minute, a mean spectral irradiance and its standard deviation. Between 2014 and 2015, this system recorded 700,000 spectra, for wavelengths ranging between 400 and 1,000 nm with a step ≤1 nm. A sample of 145,000 spectra representative of the Lyon climate was selected for statistical analysis. For this purpose, the sample was reduced in size by partitioning it in 1,175 spectra. Its spectral domain was extended to 280-1,500 nm by extrapolating the spectra with curve fitting using the SMARTS2 RTM. A PCA of the extrapolated sample reduced its description to only 3 components; hence, allowing a revision of the CIE’s illuminant D series. Finally, the relation between spectral power distribution and environmental or colorimetric parameters opens a way towards statistical models for generating solar spectra
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Ribbing, Marie, and Petra Mattisson. "Lärarrollen spelar roll! : En analys av Sveriges främsta lärare i TV-serien Klass 9A." Thesis, Kristianstad University College, School of Teacher Education, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-5755.

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Uppsatsens syfte är att analysera vilken bild TV-serien

Klass 9A visar av den professionella pedagogen i jämförelse med vad pedagogisk forskning framför om den samma. I det moderna samhället spelar massmedia en stor roll för den enskilda individen. Media anses spegla samhällets gemensamma värderingar, attityder och normer. TV som media kan därför komma att påverka hur människor uppfattar den professionella pedagogen som visas upp i TV-serien Klass 9A. Uppsatsens teoretiska kapitel baseras utifrån två kriterier som beskriver läraryrkets professionalitet. Kriterierna som ligger till grund för denna uppsats är en specifik kunskapsgrund för yrket samt en nedtecknad yrkesetik. Forskningsrön som presenteras i uppsatsen uttrycker hur läraren på ett professionellt sätt skall kunna motivera elever till fortsatt lärande samt hur lärares förväntningar spelar en avgörande roll för hur elever skall lyckas uppnå goda resultat i skolan. Undersökningen har genomförts med hjälp av modifierad didaktisk etnografisk metod och en kvalitativ analys. Analysen har baserats på ett urval av avsnitt ur TV-serien som fokuserar på pedagogernas förhållningssätt gentemot eleverna. Resultatet visar att TV-seriens pedagoger uppvisar likheter och motstridigheter med vad pedagogisk forskning framför som eftersträvansvärt när det gäller att motivera elever till fortsatt lärande. Det vill säga pedagogerna uppvisar inte alltid vad som beskrivs som en specifik kunskapsgrund för yrket. Resultatet visar även att TV-seriens pedagoger i några avsnitt inte uppfyller de yrkesetiska principer som finns nedtecknade för läraryrket.

Ämnesord

: pedagogik, läraryrkets professionalitet, motivation, yrkesetiska principer

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23

Villafani, Luyo Humberto Crossi. "Principales determinantes de la inversión exploratoria en el sector hidrocarburos peruano : un análisis de series de tiempo." Master's thesis, Pontificia Universidad Católica del Perú, 2018. http://hdl.handle.net/20.500.12404/14636.

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El presente estudio evalúa y cuantifica la importancia que tienen los efectos de los choques en los precios del petróleo, los conflictos sociales y la producción de petróleo, sobre las inversiones de exploración en hidrocarburos (IEH) de la economía peruana. Este objetivo es alcanzado estimando un modelo vector corrección de errores (VECM), donde se muestran los efectos de impulso - respuesta de las variables planteadas sobre las inversiones en exploración petrolera. Además, para una mejor interpretación de las inversiones, se realiza un análisis de descomposición de varianza y su descomposición histórica. Los principales resultados de este documento nos indican que un incremento en los precios del petróleo tiene un efecto positivo sobre las inversiones de exploración, a diferencia de los choques producidos en los conflictos sociales y la producción de petróleo, los cuales generan un impacto negativo. En la descomposición histórica de las inversiones se observó que su comportamiento obedeció en gran medida a los choques de los precios del petróleo, conflictos sociales y sus propios choques en comparación de los choques producidos por la producción de petróleo. Asimismo, la descomposición de varianza nos muestra que en un corto plazo el comportamiento de las inversiones es explicado por sus propias innovaciones, mientras que en un largo plazo son explicados con mayor relevancia por los precios del petróleo y los conflictos sociales.
Tesis
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24

Szczepanski, Peter. "Flouting the maxims in scripted speech : An analysis of flouting the maxims of conversation in the television series Firefly." Thesis, Karlstads universitet, Institutionen för språk, litteratur och interkultur, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-38455.

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Although conversations in television shows are supposed to mimic and represent everyday natural speech, they are written for a specific purpose. The aim of this paper is to find out what maxims are flouted the most in the television series Firefly and analyse what the effects of these flouts are. Presented here is an analysis of how scripted conversation in the aforementioned television show is constructed. By applying Grice's cooperative principle and his theories on flouting and implicatures, certain patterns emerge that show recurring uses of flouts for specific effects. The results are based on a study of three episodes of the television series Firefly. The results show that the maxim of quality is flouted the most and that the distribution of flouts between characters is somewhat uneven. This suggests that the use of flouts has to do with the personalities of the different characters.
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25

Losito, Sonia Maria. "O sistema de numeração decimal e o principio multiplicativo : um estudo na 4a. serie do 1o. grau." [s.n.], 1996. http://repositorio.unicamp.br/jspui/handle/REPOSIP/252534.

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Orientador: Lucila Diehl Tolaine Fini
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Educação
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Resumo: O presente trabalho teve por objetivo analisar o processo da construção do conceito de número e o campo conceitual do Sistema de Numeração Decimal, investigando o desempenho de alunos de 48 série do 10 grau, na solução de tarefas matemáticas. Foram investigados os procedimentos de alunos de uma escola com proposta de ensino construtivista, fundamentada na teoria de Piaget e de outros estudiosos e pesquisadores cognitivistas e os procedimentos de alunos de outra escola, não envolvidos nesta proposta de ensino. Investigou-se a construção do número, reconhecimento do valor posicional, os processos mentais de contagem, a operatoriedade matemática, a utilização do princípio multiplicativo do sistema de numeração decimal e a tomada de consciência do erro. Os dados coletados mostraram que os resultados de alunos de uma escola e de outra não apresentaram diferença em relação às regularidades do sistema de numeração decimal, bem como em relação ao aspecto operatório aditivo. Foram constatados melhores resultados em relação à construção do senso numérico, da operatoriedade multiplicativa, do princípio multiplicativo do sistema de numeração decimal e da tomada de consciência do erro, nos sujeitos da escola de orientação construtivista
Resumo: The objetive of the research presented here was to analyse the construction process of the concept of number and the conceptual field of the decimal numeration system, investigating the performance of the fourth grade students (primary school) concerning the soluction of mathematics tasks. Kinds of procedure were investigated: the procedure of the students of a school that works with the construtive teaching approach, based on the Piaget theory and other cognitivists scholars and researchers, and the procedures of the students of another school not involved in the same teaching proposal. It was investigated the constrution of number, the mental process of counting, the recognition of the posicional value, the mathematics operatoriety, the usage of the multiplicative principie of the decimal numeration system and the recognition of mistakes. The collected data shows that the results presented by the students of both schools are same concerning the regularities of the decimal numeration system, as well as the additive operatory aspects. Better results have been observed concerning the building up of the decimal numeration system and the recognition of mistakes, by the students of the school utilizing the constructive teaching approach
Mestrado
Psicologia Educacional
Mestre em Educação
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26

Milo, Lavinia Cloe. "La traduzione di canzoni per il doppiaggio di serie animate: Phineas e Ferb." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21307/.

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In questo progetto verrà analizzata la traduzione di alcune canzoni, realizzata per il doppiaggio della serie animata Phineas e Ferb. Prima di procedere all’analisi, verranno fatti alcuni cenni teorici sul doppiaggio, sulla funzione della musica e quindi delle canzoni nel cinema d’animazione e nelle serie animate e sugli studi relativi alla traduzione di canzoni. La seconda parte del progetto sarà dedicata all’analisi del corpus di canzoni. Verrà utilizzato il Pentathlon Principle di Peter Low, che indicherà i parametri da tenere in considerazione nell’analisi delle canzoni tradotte. Una di queste ultime verrà valutata con il metodo dello stesso autore, tenendo presente che l’analisi, così come la valutazione, non saranno oggettive né costituiranno un giudizio valido universalmente. La “buona riuscita” di una traduzione dipende dalla funzione e dalla destinazione del testo meta.
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27

Lima, Horacio Enrique Sosa Paes de. "Principio e implementação de um conversor CC-CA com estagio serie-ressonante modulado por deslocamento de fase em alta frequencia." reponame:Repositório Institucional da UFSC, 1990. https://repositorio.ufsc.br/handle/123456789/111485.

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28

Grener, Doreen Elaine. "A Content Analysis of Elementary Science Textbook Series From 1930 Through 1990 for The Presentation of The Principle of Humans as a Component of The Ecosystem /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487933648650631.

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29

Le, Bail Karine. "Etude statistique de la stabilité des stations de géodésie spatiale. Application à DORIS." Phd thesis, Observatoire de Paris, 2004. http://tel.archives-ouvertes.fr/tel-00011406.

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DORIS (Détermination d'Orbite et Radio positionnement Intégré sur Satellite) est un des systèmes permanents d'observation de la Terre avec le Global Positioning System (GPS) et la télémétrie laser sur satellite (SLR). La richesse des mesures collectées par ces systèmes permet de représenter le déplacement des stations au sol sous forme de séries temporelles de coordonnées. Au delà de la modélisation déterministe habituelle des phénomènes géophysiques, un nouveau domaine de recherche en géodésie s'est ouvert il y a quelques années, visant à la validation et à l'interprétation de ces séries temporelles.Dans la première partie du mémoire on décrit l'intégration de la fonction de mesure DORIS dans le logiciel de traitement GPS de l'Université de Berne.La partie principale des recherches effectuées concerne l'étude et la mise en oeuvre d'une méthode d'analyse de séries géodésiques 3D allant au delà des approches classiques que sont la répétitivité ou la recherche de périodicités et de ruptures. La méthode fait appel à des outils empruntés à d'autres disciplines : l'Analyse en Composantes Principales aux statistiques des sondages, et la variance d'Allan à la métrologie du temps et des fréquences. Elle est testée sur un certain nombre de jeux de séries temporelles de coordonnées de stations DORIS et GPS. On obtient une batterie de diagnostics qualifiant le spectre des mouvements de station et celui des erreurs de mesure. Ces diagnostics permettent la description déterministe et statistique du mouvement des stations obtenu par les analyses de géodésie spatiale. Ils conduisent aussi à une différenciation des systèmes de positionnement DORIS et GPS par leur signature spectrale.
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30

Zvirtek, Yana. "L'equazione del calore." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19246/.

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Questa tesi si propone di presentare i principali risultati riguardanti l'equazione del calore. In primo luogo si introduce l'equazione di diffusione, enfatizzando tra le principali proprietà delle soluzioni il principio di sovrapposizione e l'invarianza rispetto alle dilatazioni paraboliche. Queste proprietà verranno utilizzate per costruire la soluzione classica del problema di Cauchy-Dirichlet e la soluzione fondamentale a partire dall'equazione del calore in forma omogenea. Segue un approfondimento sulla legge fondamentale di conduzione del calore, da cui si ricava che l'equazione di diffusione rappresenta un modello matematico per descrivere l'evoluzione nel tempo della temperatura di un corpo rigido. La trattazione prosegue focalizzandosi sullo studio e risoluzione, in senso classico, del problema di Cauchy-Dirichlet per la sbarra omogenea con dato iniziale C^1, sfruttando, in particolare, l'analisi alla base degli sviluppi in serie di Fourier. Successivamente, vengono riportati i risultati generali ottenuti in dimensione n>=1. Tra questi, viene dedotta l'unicità della soluzione del problema di Cauchy-Dirichlet, tramite il principio di massimo debole, e per problemi misti, tramite il principio di Hopf. Infine, si affronta il problema di Cauchy omogeneo globale con dato iniziale continuo e si dimostrano per la soluzione classica: l'esistenza, costruendo la soluzione fondamentale, e l'unicità, introducendo una stima di crescita esponenziale.
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Silva, Vagner Rebouças da. "Trompa grave e trompa aguda: um estudo da tessitura da trompa com base nos principais modelos que foram referência para as composições orquestrais." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/27/27158/tde-07032013-110454/.

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A presente pesquisa tem como objetivo analisar a tessitura e a escrita para trompa observando três modelos que foram utilizados de forma brilhante pelos compositores que conseguiram, apesar das limitações de cada modelo, alçar a trompa da condição de instrumento de caça, nos tempos mais remotos, à categoria de instrumento solista e parte integrante da orquestra. Observamos que a trompa moderna é também utilizada para execução do repertório barroco e clássico, período em que as composições contemplavam a trompa de caça e a trompa natural. Acreditamos que uma visão acerca das funcionalidades da trompa de cada período nos traga subsídios para uma execução apropriada com um instrumento moderno. A trompa, devido a sua grande tessitura, foi desde o período clássico dividida em dois gêneros: trompa grave e trompa aguda. A partir do advento da trompa de válvulas na segunda metade do séc. XIX, as composições passam a requerer de um mesmo trompista igual habilidade em toda tessitura. Observamos que a especialização nos gêneros grave e agudo persiste, pois encontraremos passagens solísticas na tessitura grave ou aguda em que é requerida a especialização do trompista de cada gênero.
This research aims to analyze the range and writing for horn by observing three models that were used brilliantly by composers, who managed, despite the limitations of each model, create the conditions for the primitive hunting horn of ancient times to the level of a solo as well as an orchestral instrument. We will observe that the modern horn is well capacitated to perform Baroque and Classical repertoire, a period in which the compositions contemplated the use of the hunting horn and natural horn. We believe that a vision about the features of each period of the horn\'s development brings to light a proper execution with the modern instrument. Ever since the classical period, because of its extensive range, the horn was divided into two genres: high horn and low horn. After the invention of the valve horn in the second half of the 19th century, the compositions demanded of this new instrument the same ability as of its natural horn predecessor throughout its extensive range. We may note that with the newer 19th century valve horn, the perpetuation of the high and low horn tradition was maintained as may be observed in its extensive high and low range in solo passages, requiring the expertise of both high and low horn players of the time.
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Kobi, Abdessamad. "Diagnostic de processus continus : application à la détection de valeurs aberrantes dans les signaux d'entrée et de sortie de systèmes." Vandoeuvre-les-Nancy, INPL, 1994. http://www.theses.fr/1994INPL070N.

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Les travaux présentés dans ce mémoire se situent dans le cadre du diagnostic de processus continus. Ils sont axés sur la détection de défauts de capteurs et de modifications de processus industriels. Nous nous sommes plus particulièrement intéressés aux défauts de types valeurs aberrantes. Dans le premier chapitre, nous avons appliqué l'analyse en composantes principales sur un tableau de valeurs. Ainsi, nous avons mis en place une stratégie basée sur l'analyse des nuages des observations et sur la contribution de ces observations à la construction des axes factoriels pour la détection des valeurs aberrantes. Dans le deuxième chapitre, nous avons présenté une synthèse des différents diagnostics dans une régression linéaire. Une étude comparative a été réalisée et une application a été effectuée sur des données réelles du processus pilote réalisé au laboratoire. Pour le troisième chapitre de ce mémoire, nous avons appliqué des tests statistiques pour vérifier l'appartenance de toutes les mesures délivrées par le capteur à la loi de distribution connue ou déterminée à l'avance. Cette application a été effectuée d'une part sur des données du processus pilote et d'autre part sur des données simulées. Lorsque le signal délivré par le capteur est modélisé par un processus autorégressif, la procédure que nous avons mise en œuvre, dans le quatrième chapitre, permet d'estimer les paramètres du modèle, en utilisant la technique des moindres carres, de détecter et de localiser le défaut, d'identifier sa nature et enfin de corriger les mesures. Nous avons étendu cette approche à des processus auto régressifs vectoriels. Enfin, dans le cinquième chapitre, nous avons développé une technique originale, basée sur le calcul de l'amplitude de défaut normalisé par son écart-type, pour détecter les défauts capteurs sur les entrées et les sorties du système
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Uhlíř, Luděk. "PDA software pro robotický fotbal." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217455.

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Robotic soccer is a game like a real soccer but here the game is played by robots. The rules are the same, only there are few exceptions (foul, penalty kick, stalemate situation). Game is running without the human intervention. Just a human referee is supervising the game. Two teams are attending the game. Each of them has a control computer. The control computer is the brain of the game. It has a camera, it is making decisions for the next step of robots and sending them configuration data. The thesis deals with testing of communication interface and designs the new communication protocol for the next generation of the robots. The testing is provided by pocket pc Palm TX. It will send data over the Bluetooth interface to the control pc and will configure particular constants, like constants of PID regulator and an address of a robot. This will be provided by the IrDA interface.
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34

Di, Giovanni Ferdinando. "Progettazione e sviluppo di un software per la simulazione dinamica della redazione del Master Production Schedule." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Il presente lavoro di Tesi documenta la realizzazione di un software in C# per la simulazione dinamica della redazione del Master Production Schedule - MPS (Piano Principale di Produzione). Il software è nato dalla necessità di avere strumenti informatici efficienti e di facile comprensione che permettessero all'utente – attraverso interfacce chiare e accessi immediati a grafici dinamici, analisi di serie storiche e previsioni di mercato –, di “giocare” una “partita” in un contesto simulato, ma aderente alla realtà, effettuando scelte legate alla pianificazione della produzione in un orizzonte temporale predefinito e di avere un feedback immediato dopo ogni step, oltre che un report finale, sulla bontà delle proprie decisioni. L'obiettivo è quello di mostrare la complessità della pianificazione della produzione in un contesto industriale in cui, sulla base di dati statistici, è necessario sapersi destreggiare. Alla luce di tutto ciò, il software può essere utilizzato per mettere alla prova chiunque si occupi di pianificazione, produzione, operations, previsione della domanda di mercato, logistica, impiantistica, manutenzione dei sistemi produttivi e gestione dei ricambi.
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35

Lundström, Christian. "On the returns of trend-following trading strategies." Licentiate thesis, Umeå universitet, Nationalekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-132914.

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Paper [I] tests the success rate of trades and the returns of the Opening Range Breakout (ORB) strategy. A trader that trades on the ORB strategy seeks to identify large intraday price movements and trades only when the price moves beyond some predetermined threshold. We present an ORB strategy based on normally distributed returns to identify such days and find that our ORB trading strategy result in significantly higher returns than zero as well as an increased success rate in relation to a fair game. The characteristics of such an approach over conventional statistical tests is that it involves the joint distribution of low, high, open and close over a given time horizon. Paper [II] measures the returns of a popular day trading strategy, the Opening Range Breakout strategy (ORB), across volatility states. We calculate the average daily returns of the ORB strategy for each volatility state of the underlying asset when applied on long time series of crude oil and S&P 500 futures contracts. We find an average difference in returns between the highest and the lowest volatility state of around 200 basis points per day for crude oil, and of around 150 basis points per day for the S&P 500. This finding suggests that the success in day trading can depend to a large extent on the volatility of the underlying asset. Paper [III] performs empirical analysis on short-term and long-term Commodity Trading Advisor (CTA) strategies regarding their exposures to unanticipated risk shocks. Previous research documents that CTA strategies offer diversification opportunities during equity market crisis situations when evaluated as a group, but do not separate between short-term and long-term CTA strategies. When separating between short-term and long-term CTA strategies, this paper finds that only short-term CTA strategies provide a significant, and consistent, exposure to unanticipated risk shocks while long-term CTA strategies do not. For the purpose of diversifying a portfolio during equity market crisis situations, this result suggests that an investor should allocate to short-term CTA strategies rather than to long-term CTA strategies.
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García, Martínez María del Carmen. "La adopción de tecnología en los invernaderos hortícolas mediterráneos." Doctoral thesis, Universitat Politècnica de València, 2009. http://hdl.handle.net/10251/6472.

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En la horticultura intensiva española la mayor parte de las exportaciones procede de los cultivos de invernadero, localizados en Almería, Murcia y Alicante, donde se ha centrado el presente estudio. Actualmente la posición competitiva no presenta amenazas muy graves pero tampoco muestra una etapa creciente. Exportaciones y precios soportan la competencia de otros países del área mediterránea, con los cuales España debe competir en capital y en tecnología elevando el nivel de equipamiento de los invernaderos. Ante unas exigencias de reestructuración de las instalaciones actuales, no aplazables, se plantea la presente tesis con el fin de conocer el estado actual de la tecnología y su evolución y, además, las características de las explotaciones y la actitud de sus titulares respecto a las innovaciones necesarias. Las fuentes de información se han basado en una toma de precios en origen del tomate y pimiento, como principales productos hortícolas, y en una encuesta, realizada en 242 explotaciones, mediante muestreo proporcional estratificado, en las zonas de El Ejido (Almería), Valle del Guadalentín y Campo de Cartagena (Murcia) y Sur de Alicante. El análisis de la información tuvo una primera parte dedicada a los precios, con el cálculo de la tendencia y la estacionalidad y la aplicación de modelos ARIMA. La finalidad ha sido conocer la evolución de las rentas de los productores, efectuar predicciones, y establecer una relación entre los precios y la tecnología adoptable. El tratamiento de los datos de la encuesta con sus resultados comprende la mayor parte del contenido del trabajo. Se aplicó el análisis estadístico univariante a las características estructurales de explotaciones e invernaderos y el bivariante, con contraste de independencia, para determinar relaciones de interés entre los factores que influyen en los procesos de innovación.
García Martínez, MDC. (2009). La adopción de tecnología en los invernaderos hortícolas mediterráneos [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/6472
Palancia
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37

Haykal, Vanessa. "Modélisation des séries temporelles par apprentissage profond." Thesis, Tours, 2019. http://www.theses.fr/2019TOUR4019.

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La prévision des séries temporelles est un problème qui est traité depuis de nombreuses années. Dans cette thèse, on s’est intéressé aux méthodes issues de l’apprentissage profond. Il est bien connu que si les relations entre les données sont temporelles, il est difficile de les analyser et de les prévoir avec précision en raison des tendances non linéaires et du bruit présent, spécifiquement pour les séries financières et électriques. A partir de ce contexte, nous proposons une nouvelle architecture de réduction de bruit qui modélise des séries d’erreurs récursives pour améliorer les prévisions. L’apprentissage hybride fusionne simultanément un réseau de neurones convolutifs (CNN) et un réseau récurrent à mémoire long et court termes (LSTM). Ce modèle se distingue par sa capacité à capturer globalement différentes propriétés telles que les caractéristiques locales du signal, d’apprendre les dépendances non linéaires à long terme et de s’adapter également à une résistance élevée au bruit. La seconde contribution concerne les limitations des approches globales en raison des changements de régimes dynamiques dans le signal. Nous présentons donc une modification locale non-supervisée de notre architecture précédente afin d’ajuster les résultats en pilotant le modèle par un modèle de Markov caché (HMM). Enfin, on s’est également intéressé aux techniques de multi-résolutions pour améliorer les performances des couches convolutives, notamment par la méthode de décomposition en mode variationnel (VMD)
Time series prediction is a problem that has been addressed for many years. In this thesis, we have been interested in methods resulting from deep learning. It is well known that if the relationships between the data are temporal, it is difficult to analyze and predict accurately due to non-linear trends and the existence of noise specifically in the financial and electrical series. From this context, we propose a new hybrid noise reduction architecture that models the recursive error series to improve predictions. The learning process fusessimultaneouslyaconvolutionalneuralnetwork(CNN)andarecurrentlongshort-term memory network (LSTM). This model is distinguished by its ability to capture globally a variety of hybrid properties, where it is able to extract local signal features, to learn long-term and non-linear dependencies, and to have a high noise resistance. The second contribution concerns the limitations of the global approaches because of the dynamic switching regimes in the signal. We present a local unsupervised modification with our previous architecture in order to adjust the results by adapting the Hidden Markov Model (HMM). Finally, we were also interested in multi-resolution techniques to improve the performance of the convolutional layers, notably by using the variational mode decomposition method (VMD)
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38

Bitseki, Penda Siméon Valère. "Inégalités de déviations, principe de déviations modérées et théorèmes limites pour des processus indexés par un arbre binaire et pour des modèles markoviens." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00822136.

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Le contrôle explicite de la convergence des sommes convenablement normalisées de variables aléatoires, ainsi que l'étude du principe de déviations modérées associé à ces sommes constituent les thèmes centraux de cette thèse. Nous étudions principalement deux types de processus. Premièrement, nous nous intéressons aux processus indexés par un arbre binaire, aléatoire ou non. Ces processus ont été introduits dans la littérature afin d'étudier le mécanisme de la division cellulaire. Au chapitre 2, nous étudions les chaînes de Markov bifurcantes. Ces chaînes peuvent être vues comme une adaptation des chaînes de Markov "usuelles'' dans le cas où l'ensemble des indices à une structure binaire. Sous des hypothèses d'ergodicité géométrique uniforme et non-uniforme d'une chaîne de Markov induite, nous fournissons des inégalités de déviations et un principe de déviations modérées pour les chaînes de Markov bifurcantes. Au chapitre 3, nous nous intéressons aux processus bifurcants autorégressifs d'ordre p (). Ces processus sont une adaptation des processus autorégressifs linéaires d'ordre p dans le cas où l'ensemble des indices à une structure binaire. Nous donnons des inégalités de déviations, ainsi qu'un principe de déviations modérées pour les estimateurs des moindres carrés des paramètres "d'autorégression'' de ce modèle. Au chapitre 4, nous traitons des inégalités de déviations pour des chaînes de Markov bifurcantes sur un arbre de Galton-Watson. Ces chaînes sont une généralisation de la notion de chaînes de Markov bifurcantes au cas où l'ensemble des indices est un arbre de Galton-Watson binaire. Elles permettent dans le cas de la division cellulaire de prendre en compte la mort des cellules. Les hypothèses principales que nous faisons dans ce chapitre sont : l'ergodicité géométrique uniforme d'une chaîne de Markov induite et la non-extinction du processus de Galton-Watson associé. Au chapitre 5, nous nous intéressons aux modèles autorégressifs linéaires d'ordre 1 ayant des résidus corrélés. Plus particulièrement, nous nous concentrons sur la statistique de Durbin-Watson. La statistique de Durbin-Watson est à la base des tests de Durbin-Watson, qui permettent de détecter l'autocorrélation résiduelle dans des modèles autorégressifs d'ordre 1. Nous fournissons un principe de déviations modérées pour cette statistique. Les preuves du principe de déviations modérées des chapitres 2, 3 et 4 reposent essentiellement sur le principe de déviations modérées des martingales. Les inégalités de déviations sont établies principalement grâce à l'inégalité d'Azuma-Bennet-Hoeffding et l'utilisation de la structure binaire des processus. Le chapitre 5 est né de l'importance qu'a l'ergodicité explicite des chaînes de Markov au chapitre 3. L'ergodicité géométrique explicite des processus de Markov à temps discret et continu ayant été très bien étudiée dans la littérature, nous nous sommes penchés sur l'ergodicité sous-exponentielle des processus de Markov à temps continu. Nous fournissons alors des taux explicites pour la convergence sous exponentielle d'un processus de Markov à temps continu vers sa mesure de probabilité d'équilibre. Les hypothèses principales que nous utilisons sont : l'existence d'une fonction de Lyapunov et d'une condition de minoration. Les preuves reposent en grande partie sur la construction du couplage et le contrôle explicite de la queue du temps de couplage.
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39

Proïa, Frédéric. "Autocorrélation et stationnarité dans le processus autorégressif." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00903542.

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Cette thèse est dévolue à l'étude de certaines propriétés asymptotiques du processus autorégressif d'ordre p. Ce dernier qualifie communément une suite aléatoire $(Y_{n})$ définie sur $\dN$ ou $\dZ$ et entièrement décrite par une combinaison linéaire de ses $p$ valeurs passées, perturbée par un bruit blanc $(\veps_{n})$. Tout au long de ce mémoire, nous traitons deux problématiques majeures de l'étude de tels processus : l'\textit{autocorrélation résiduelle} et la \textit{stationnarité}. Nous proposons en guise d'introduction un survol nécessaire des propriétés usuelles du processus autorégressif. Les deux chapitres suivants sont consacrés aux conséquences inférentielles induites par la présence d'une autorégression significative dans la perturbation $(\veps_{n})$ pour $p=1$ tout d'abord, puis pour une valeur quelconque de $p$, dans un cadre de stabilité. Ces résultats nous permettent d'apposer un regard nouveau et plus rigoureux sur certaines procédures statistiques bien connues sous la dénomination de \textit{test de Durbin-Watson} et de \textit{H-test}. Dans ce contexte de bruit autocorrélé, nous complétons cette étude par un ensemble de principes de déviations modérées liées à nos estimateurs. Nous abordons ensuite un équivalent en temps continu du processus autorégressif. Ce dernier est décrit par une équation différentielle stochastique et sa solution est plus connue sous le nom de \textit{processus d'Ornstein-Uhlenbeck}. Lorsque le processus d'Ornstein-Uhlenbeck est lui-même engendré par une diffusion similaire, cela nous permet de traiter la problématique de l'autocorrélation résiduelle dans le processus à temps continu. Nous inférons dès lors quelques propriétés statistiques de tels modèles, gardant pour objectif le parallèle avec le cas discret étudié dans les chapitres précédents. Enfin, le dernier chapitre est entièrement dévolu à la problématique de la stationnarité. Nous nous plaçons dans le cadre très général où le processus autorégressif possède une tendance polynomiale d'ordre $r$ tout en étant engendré par une marche aléatoire intégrée d'ordre $d$. Les résultats de convergence que nous obtenons dans un contexte d'instabilité généralisent le \textit{test de Leybourne et McCabe} et certains aspects du \textit{test KPSS}. De nombreux graphes obtenus en simulations viennent conforter les résultats que nous établissons tout au long de notre étude.
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40

Cekl, Jakub. "Model palivového souboru tlakovodního reaktoru západní koncepce." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-376896.

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41

Salgado, José Miguel Rodrigues Teixeira. "Principal and Independent Component Analysis in Financial Time Series." Tese, 2014. https://repositorio-aberto.up.pt/handle/10216/76942.

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42

Salgado, José Miguel Rodrigues Teixeira. "Principal and Independent Component Analysis in Financial Time Series." Doctoral thesis, 2014. https://repositorio-aberto.up.pt/handle/10216/76942.

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43

Liu, Pao-Wen Grace. "Forecast ozone levels using a time series model plus principal component triggers." 2000. http://www.library.wisc.edu/databases/connect/dissertations.html.

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44

Heaton, Chris Economics Australian School of Business UNSW. "Factor analysis of high dimensional time series." 2008. http://handle.unsw.edu.au/1959.4/40946.

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This thesis presents the results of research into the use of factor models for stationary economic time series. Two basic scenarios are considered. The first is a situation where a large number of observations are available on a relatively small number variables, and a dynamic factor model is specified. It is shown that a dynamic factor model may be derived as a representation of a VARMA model of reduced spectral rank observed subject to measurement error. In some cases the resulting factor model corresponds to a minimal state-space representation of the VARMA plus noise model. Identification is discussed and proved for a fairly general class of dynamic factor model, and a frequency domain estimation procedure is proposed which has the advantage of generalising easily to models with rich dynamic structures. The second scenario is one where both the number of variables and the number of observations jointly diverge to infinity. The principal components estimator is considered in this case, and consistency is proved under assumptions which allow for much more error cross-correlation than the previously published theorems. Ancillary results include finite sample/variables bounds linking population principal components to population factors, and consistency results for principal components in a dual limit framework under a `gap' condition on the eigenvalues. A new factor model, named the Grouped Variable Approximate Factor Model, is introduced. This factor model allows for arbitrarily strong correlation between some of the errors, provided that the variables corresponding to the strongly correlated errors may be arranged into groups. An approximate instrumental variables estimator is proposed for the model and consistency is proved.
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45

Roussakov, Maxime. "Financial time series analysis with competitive neural networks." Thèse, 2017. http://hdl.handle.net/1866/20210.

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46

Chen, Chen Shu, and 陳淑貞. "THe Application of Principal Component Analysis Model of Multivariate Time Series on the Prediction of the Number of Tourists Visiting Taiwan." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/00655505384416552732.

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47

Wallace, JACK. "EVALUATING THE PERFORMANCE AND WATER CHEMISTRY DYNAMICS OF PASSIVE SYSTEMS TREATING MUNICIPAL WASTEWATER AND LANDFILL LEACHATE." Thesis, 2013. http://hdl.handle.net/1974/8440.

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This thesis consists of work conducted in two separate studies, evaluating the performance of passive systems for treating wastewater effluents. The first study involved the characterization of three wastewater stabilization ponds (WSPs) providing secondary and tertiary treatment for municipal wastewater at a facility in Amherstview, Ontario, Canada. Since 2003, the WSPs have experienced excessive algae growth and high pH levels during the summer months. A full range of parameters consisting of: pH, chlorophyll-a (chl-a), dissolved oxygen (DO), temperature, alkalinity, oxidation-reduction potential (ORP), conductivity, nutrient species, and organic matter measures; were monitored for the system and the chemical dynamics in the three WSPs were assessed through multivariate statistical analysis. Supplementary continuous monitoring of pH, chl-a, and DO was performed to identify time-series dependencies. The analyses showed strong correlations between chl-a and sunlight, temperature, organic matter, and nutrients, and strong time dependent correlations between chl-a and DO and between chl-a and pH. Additionally, algae samples were collected and analyzed using metagenomics methods to determine the distribution and speciation of algae growth in the WSPs. A strong shift from the dominance of a major class of green algae, chlorophyceae, in the first WSP, to the dominance of land plants, embryophyta – including aquatic macrophytes – in the third WSP, was observed and corresponded to field observations during the study period. The second study involved the evaluation of the performance and chemical dynamics of a hybrid-passive system treating leachate from a municipal solid waste (MSW) landfill in North Bay, Ontario, Canada. Over a three year period, monitoring of a full range of parameters consisting of: pH, DO, temperature, alkalinity, ORP, conductivity, sulfate, chloride, phenols, solids fractions, nutrient species, organic matter measures, and metals; was conducted bi-weekly and the dataset was analyzed with time series and multivariate statistical techniques. Regression analyses identified 8 parameters that were most frequently retained for modelling the five criteria parameters (alkalinity, ammonia, chemical oxygen demand, iron, and heavy metals), on a statistically significant level (p < 0.05): conductivity, DO, nitrite, organic nitrogen, ORP, pH, sulfate, and total volatile solids.
Thesis (Master, Civil Engineering) -- Queen's University, 2013-10-27 05:29:20.564
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48

Huang, Cheng-Chih, and 黃呈智. "Wave Principle based Fuzzy Bi-Time series Model for TAIEX Forecasting." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/82123434920184156656.

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碩士
國立雲林科技大學
資訊管理系碩士班
95
In stock markets, investors forecast the future price trend based on open data such as past trading data, market news and financial reports. What they care about most is to make accurate predictions to bring profit for them. Therefore, they are absorbed in lifting forecasting accuracy for stock markets. Fuzzy time-series models have been utilized to forecast the number of enrollment, the height of temperature and stock price patterns since they are first induced by Song and Chissom in 1993. However, from literature, there are two major drawbacks of traditional methods such as the lack of consideration in determining reasonable universe of discourse and the length of intervals. Besides, it is clear to see that the past researchers lacked stock technical analysis theories for supporting their models. Hence, we provide the Elliot’s Wave Principle as the theory base for our forecast model. Furthermore, we consider the relation between price and volume in the proposed model to forecast stock price because it is usually ignored in past researchers. Therefore, we survey the technical indicators of volume and choose the volume ratio, VR, to modify the forecasting values. In order to solve these problems above, an objective and reasonable approach is then proposed. Traditional forecasting models forecast stock price based on singular price indicator, lacking other factors such as volume indicators, so it is not thoughtful enough to forecast stock price. We propose a wave principle based fuzzy bi-time series model to improve the forecast accuracy, and apply three parameters, alpha, beta and gamma, to refine our forecast model. And set some criteria in order to make trading possible. Using the TAIEX (Taiwan stock index) and NASDAQ (a worldwide famous high-tech industries integrated index in America) as the forecasting datasets, the empirical results show that the proposed model outperforms other conventional models.
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Tsai, Hung-mao, and 蔡宏懋. "Investigate to Learn Arithmetic Sequence and Arithmetic Series by Principle of Mathematical Induction." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/44893874299323734879.

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碩士
國立臺南大學
應用數學系碩士班
102
The purpose of the study aims to investigate the eighth graders, learning effects, learning retention and the process, of learning arithmetic sequence and arithmetic series by the principle of mathematical induction. This study applies experimental teaching approach. The teaching objects are 30 eighth graders in the junior high school where the researcher teaches. The research tool is based on a math problem solving test which the researcher edits. The data of post-test, post-pone test and after-school learning sheet are used to study the objects' learning effects, retention concepts and problem solving processes. The study findings are as follows. 1. The average grade of post-test are 67.07 in the experimental class and 58.69 in the control class, respectively. The learning effects of the experimental class is superior to the control class. 2. The average grade of post-pone test is 71.17 in the experimental class, which is superior than that of post-test. So that the learning retention is efficient. 3. Most of students can infer the answers of math problems by the principle of mathematical induction.
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50

Yu, Chia-hsiang, and 尤家祥. "Missing information principle of the use-rate accelerated test for a series system under type-I censoring." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/9x9984.

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博士
國立中央大學
統計研究所
101
In traditional reliability life test, usually the data are the failure (censored) times of the test units. However, most of the analyses do not consider the variabilities in the real life, such as the use-rate, load, temperature, humidity, etc. With new technology, we can install sensors or smart chips in many products so that the variabilities of the above characteristics can be collected. In this thesis, we consider the life test of multi-components series systems, when the cycles-to-failure and use-rate information are available for those systems with censors (chips). On the other hand, only the times-to-failure can be collected from the systems without censors (chips). EM-algorithm is employed to obtain the MLEs along with their estimated standard errors computed based on the observed information matrix via the missing information principle. It turns out that the proposed method not only provides accurate results but also saves much computing time than the existing method.
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