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Thèses sur le sujet « Applied Multivariate Analysis »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Tavares, Nuno Filipe Ramalho da Cunha. "Multivariate analysis applied to clinical analysis data." Master's thesis, Faculdade de Ciências e Tecnologia, 2014. http://hdl.handle.net/10362/12288.

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Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial<br>Folate, vitamin B12, iron and hemoglobin are essential for metabolic functions in the body. The deficiency of these can be the cause of several known pathologies and, untreated, can be responsible for severe morbidity and even death. The objective of this study is to characterize a population, residing in the metropolitan area of Lisbon and Setubal, concerning serum levels of folate, vitamin B12, iron and hemoglobin, as well as finding evidence of correlations between these parameters and illnesses, mainly cardiov

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Zappi, Alessandro <1990&gt. "Chemometrics applied to direct multivariate analysis." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/8898/1/Zappi_Alessandro_Thesis.pdf.

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The present Ph.D. Thesis is focused on applications and developments of chemometrics. After a short introduction about chemometrics (Chapter 1), the present work is divided in three Chapters, reflecting the research activities addressed during the three-year PhD work: • Chapter 2 concerns the application of classification tools to food traceability (Chapter 2.1), plant metabolomics (Chapter 2.2), and food-frauds detection (Chapter 2.3) problems. • Chapter 3 concerns the application of design of experiments for a bio-remediation research (Chapter 3.1) and for machine optimization (Chapter 3.

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Campbell, Allen Webb. "Applied statisical analysis software system." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-08182009-040351/.

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Van, der Bijl Rinske. "Multivariate refinable functions with emphasis on box splines." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/2743.

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Thesis (MComm (Mathematics))--Stellenbosch University, 2008.<br>The general purpose of this thesis is the analysis of multivariate refinement equations, with focus on the bivariate case. Since box splines are the main prototype of such equations (just like the cardinal B-splines in the univariate case), we make them our primary subject of discussion throughout. The first two chapters are indeed about the origin and definition of box splines, and try to elaborate on them in sufficient detail so as to build on them in all subsequent chapters, while providing many examples and graphical illu

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TARIS, ALESSANDRA. "Multivariate techniques applied on spectroscopic data for process analysis and monitoring." Doctoral thesis, Università degli Studi di Cagliari, 2017. http://hdl.handle.net/11584/249570.

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L’analisi e il monitoraggio di processo sono diventati di fondamentale importanza per garantire le prestazioni del processo e mantenere la qualità del prodotto. A tal scopo, la spettroscopia rappresenta uno strumento innovativo che permette di superare le problematiche che si incontrano con le tecniche analitiche convenzionali (per esempio, la gas cromatografia), poichè è veloce e non distruttiva e può fornire informazioni sullo stato chimico del processo in tempo reale. Tuttavia, a causa della grande quantità di informazioni presenti nelle misure raccolte, l’interpretazione e l’estrazione di

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Hu, Cecilia X. Matthew C. Knitt. "A comparative analysis of multivariate statistical detection methods applied to syndromic surveillance." Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FHu.pdf.

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Thesis (M.S. in Applied Science (Operations Research) )--Naval Postgraduate School, June 2007.<br>Thesis Advisor(s): Ronald D. Fricker. "June 2007." Includes bibliographical references (p. 71-72). Also available in print.

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Knitt, Matthew C. "A comparative analysis of multivariate statistical detection methods applied to syndromic surveillance." Thesis, Monterey, California. Naval Postgraduate School, 2007. http://hdl.handle.net/10945/3417.

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Biological terrorism is a threat to the security and well-being of the United States. It is critical to detect the presence of these attacks in a timely manner, in order to provide sufficient and effective responses to minimize or contain the damage inflicted. Syndromic surveillance is the process of monitoring public health-related data and applying statistical tests to determine the potential presence of a disease outbreak in the observed system. Our research involved a comparative analysis of two multivariate statistical methods, the multivariate CUSUM (MCUSUM) and the multivariate exponent

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Robson, Geoffrey. "Multiple outlier detection and cluster analysis of multivariate normal data." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53508.

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Thesis (MscEng)--Stellenbosch University, 2003.<br>ENGLISH ABSTRACT: Outliers may be defined as observations that are sufficiently aberrant to arouse the suspicion of the analyst as to their origin. They could be the result of human error, in which case they should be corrected, but they may also be an interesting exception, and this would deserve further investigation. Identification of outliers typically consists of an informal inspection of a plot of the data, but this is unreliable for dimensions greater than two. A formal procedure for detecting outliers allows for consistency when

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Van, Deventer Petrus Jacobus Uys. "The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research." Master's thesis, University of Cape Town, 1985. http://hdl.handle.net/11427/4941.

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Includes bibliography.<br>The purpose of the procedures described is to assign “objects” or "observations" in some optimum fashion to one of two or more populations. In routine banking a bank manager may wish to classify clients who wish to make loans as low or high credit risks on the basis of the elements of certain accounting statements. In such a case there are two definite distinct classes. Another investigation may be initiated to determine whether buying habits are different with respect to the categories: urban, sub-urban and rural clients. Note that in the first example the classes ar

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Pasamontes, Fúnez Alberto. "Multivariate curve resolution applied to sequential injection data. Analysis of amoxicillin anda clavulanic acid." Doctoral thesis, Universitat Rovira i Virgili, 2006. http://hdl.handle.net/10803/9005.

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El objetivo de esta tesis ha sido estudiar y desarrollar metodologias analíticas<br/>usando un sistema de inyección secuencial (SIA) con un espectrofotómetro de diodos en<br/>fila para obtener datos de segundo orden. Para tratar estos datos, las herramientas<br/>quimiométricas usadas han sido; resolución de curvas multivariante mediante mínimos<br/>cuadrados alternados (MCR-ALS) y otras técnicas relacionadas a ésta como el análisis<br/>de componentes principales (PCA) y SIMPLISMA. Además se han aplicado estrategias<br/>de diseño de experimentos para obtener las condiciones experimentales óptim

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Reising, Justin. "Function Space Tensor Decomposition and its Application in Sports Analytics." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etd/3676.

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Recent advancements in sports information and technology systems have ushered in a new age of applications of both supervised and unsupervised analytical techniques in the sports domain. These automated systems capture large volumes of data points about competitors during live competition. As a result, multi-relational analyses are gaining popularity in the field of Sports Analytics. We review two case studies of dimensionality reduction with Principal Component Analysis and latent factor analysis with Non-Negative Matrix Factorization applied in sports. Also, we provide a review of a framewor

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Guamán, Novillo Ana Verónica. "Multivariate Signal Processing for Quantitative and Qualitative Analysis of Ion Mobility Spectrometry data, applied to Biomedical Applications and Food Related Applications." Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/349210.

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There are several applications where the measurement of VOC results to be useful, such as: toxic leaks, air quality measurements, explosive detection, monitoring of food and beverages quality, diagnosis of diseases, etc. Some of this applications claim for fast responses or even real time responses. In this context, there are few analytical techniques for performing gas phase analysis, among of them Ion Mobility Spectrometry (IMS). IMS is a fast analytical device based on the time of flight of ions in a drift tube. The response of IMS lasts typically few seconds, but it can be even less tha

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Rosinski, Bernard J. "Roman Catholic seminary survival (1968-1983) : a multivariate statistical analysis of the CARA seminary directories." Virtual Press, 1985. http://liblink.bsu.edu/uhtbin/catkey/434859.

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The purpose of the study was to provide a predictive account for a nearly 60 percent decrease in the number of Catholic seminaries extant in 1968. Standards for seminary operations published by the Catholic Bishops in 1968 and 1971 were hypothesized to have no predictive relationship with seminary survival. The population consisted of all qualified Catholic seminaries in the United States. Cell group arrangements, obtained from the intersection of seminary survival with seminary academic levels, served as criterion composites with a variety of seminary measures serving as predictor composites

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Lai, Di. "Independent component analysis (ICA) applied to ultrasound image processing and tissue characterization /." Online version of thesis, 2009. http://hdl.handle.net/1850/11367.

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Piovesan, Pamela. "Validação cruzada com correção de autovalores e regressão isotônica nos modelos AMMI." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-16102007-113618/.

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Neste trabalho apresenta-se a aplicação dos modelos AMMI para um estudo detalhado do efeito das interações entre genótipos e ambientes em experimentos multiambientais. Através da decomposição da soma de quadrados dessas interações, busca-se selecionar o número de termos que explicam essa interação, descartando o ruído presente na mesma. Há duas maneiras para a escolha desses termos: validação cruzada e teste de hipóteses. O foco será na validação cruzada pela vantagem de ser um critério "preditivo" de avaliação. São apresentados dois métodos de validação cruzada, métodos esses esboçado

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Miller, Lisa V. "Multivariate statistical analysis of seismic data applied to the delineation of reservoir facies in the Birkhead Formation, Sturt Field, Lake Hope Block /." Title page, contents and abstract only, 1994. http://web4.library.adelaide.edu.au/theses/09SM/09smm648.pdf.

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SILVA, Adriano Victor Lopes da. "Alternativas e comparações de modelos lineares para estimativa da biomassa verde de Bambusa vulgaris na existência de multicolinearidade." Universidade Federal Rural de Pernambuco, 2008. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4454.

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Submitted by (ana.araujo@ufrpe.br) on 2016-05-18T17:21:28Z No. of bitstreams: 1 Adriano Victor Lopes da Silva.pdf: 1127667 bytes, checksum: aa52cc1c83e4335d093e8d62132c37bd (MD5)<br>Made available in DSpace on 2016-05-18T17:21:28Z (GMT). No. of bitstreams: 1 Adriano Victor Lopes da Silva.pdf: 1127667 bytes, checksum: aa52cc1c83e4335d093e8d62132c37bd (MD5) Previous issue date: 2008-02-26<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>The objective of this work was to use univariate and multivariate statistical methods on selection of independent variables, in

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Rivers, Derick Lorenzo. "Dynamic Bayesian Approaches to the Statistical Calibration Problem." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3599.

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The problem of statistical calibration of a measuring instrument can be framed both in a statistical context as well as in an engineering context. In the first, the problem is dealt with by distinguishing between the "classical" approach and the "inverse" regression approach. Both of these models are static models and are used to estimate "exact" measurements from measurements that are affected by error. In the engineering context, the variables of interest are considered to be taken at the time at which you observe the measurement. The Bayesian time series analysis method of Dynamic Linear Mo

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Eisman, Elyktra. "GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2261.

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Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social rela

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Olid, Pilar. "Making Models with Bayes." CSUSB ScholarWorks, 2017. https://scholarworks.lib.csusb.edu/etd/593.

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Bayesian statistics is an important approach to modern statistical analyses. It allows us to use our prior knowledge of the unknown parameters to construct a model for our data set. The foundation of Bayesian analysis is Bayes' Rule, which in its proportional form indicates that the posterior is proportional to the prior times the likelihood. We will demonstrate how we can apply Bayesian statistical techniques to fit a linear regression model and a hierarchical linear regression model to a data set. We will show how to apply different distributions to Bayesian analyses and how the use of a pri

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Yuan, Qingcong. "INFORMATIONAL INDEX AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA." UKnowledge, 2017. http://uknowledge.uky.edu/statistics_etds/28.

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We introduce a new class of measures for testing independence between two random vectors, which uses expected difference of conditional and marginal characteristic functions. By choosing a particular weight function in the class, we propose a new index for measuring independence and study its property. Two empirical versions are developed, their properties, asymptotics, connection with existing measures and applications are discussed. Implementation and Monte Carlo results are also presented. We propose a two-stage sufficient variable selections method based on the new index to deal with large

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Moradi, Rekabdarkolaee Hossein. "Dimension Reduction and Variable Selection." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4633.

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High-dimensional data are becoming increasingly available as data collection technology advances. Over the last decade, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics, signal processing, and environmental studies. Statistical techniques such as dimension reduction and variable selection play important roles in high dimensional data analysis. Sufficient dimension reduction provides a way to find the reduced space of the original space without a parametric model. This method has b

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Oketch, Tobias O. "Performance of Imputation Algorithms on Artificially Produced Missing at Random Data." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etd/3217.

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Missing data is one of the challenges we are facing today in modeling valid statistical models. It reduces the representativeness of the data samples. Hence, population estimates, and model parameters estimated from such data are likely to be biased. However, the missing data problem is an area under study, and alternative better statistical procedures have been presented to mitigate its shortcomings. In this paper, we review causes of missing data, and various methods of handling missing data. Our main focus is evaluating various multiple imputation (MI) methods from the multiple imputation o

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Zaldivar, Cynthia. "On the Performance of some Poisson Ridge Regression Estimators." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3669.

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Multiple regression models play an important role in analyzing and making predictions about data. Prediction accuracy becomes lower when two or more explanatory variables in the model are highly correlated. One solution is to use ridge regression. The purpose of this thesis is to study the performance of available ridge regression estimators for Poisson regression models in the presence of moderately to highly correlated variables. As performance criteria, we use mean square error (MSE), mean absolute percentage error (MAPE), and percentage of times the maximum likelihood (ML) estimator produc

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Papageorgiou, Theofania. "Image analysis and multivariate morphometrics as means of distingushing between apple varieties and clones." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267281.

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Nunes, Giovani Cavalcanti. "Design and analysis of multivariable predictive control applied to an oil-water-gas separator a polynomial approach /." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/anp1585/Phd.pdf.

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Thesis (Ph. D.)--University of Florida, 2001.<br>Title from first page of PDF file. Document formatted into pages; contains viii, 118 p.; also contains graphics. Vita. Includes bibliographical references (p. 115-117).

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Hassan, Mahmoud. "Analysis of the propagation of uterine electrical activity applied to predict preterm labor : prédiction de menaces d'accouchement prématuré." Compiègne, 2011. http://www.theses.fr/2011COMP1948.

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Les contractions utérines sont contrôlées par deux phénomènes physiologiques: l'excitabilité cellulaire et la propagation de l'activité électrique utérine probablement liées aux hautes et basses fréquences de l'electrohysterograme (EHG) respectivement. Toutes les études précédentes ont porté sur l'extraction de paramètres de la partie haute fréquence et n'ont pas montré un potentiel satisfait pour l'application clinique. L'objectif de cette thèse est l'analyse de propagation de l'EHG pendant la grossesse et le travail dans la vue de l'extraction des outils pour une application clinique. Une de

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Taconeli, Cesar Augusto. "Árvores de classificação multivariadas fundamentadas em coeficientes de dissimilaridade e entropia." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-15102008-082243/.

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A análise estatística de grandes bancos de dados requer a utilização de metodologias flexíveis, capazes de produzir resultados esclarecedores e facilmente compreensíveis frente a dificuldades como a presença de números elevados de variáveis, diferentes graus de associações entre as mesmas e dados ausentes. A construção de árvores de classificação e regressão proporciona a modelagem de uma variável resposta, categorizada ou numérica, com base em um conjunto de covariáveis, sem esbarrar nas dificuldades mencionadas. A extensão multivariada de técnicas de classificação e regressão por árvores vis

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Junior, Rafael Paiva Nunes. "Multivariate statistics applied to microplastic analysis techniques." Master's thesis, 2021. https://hdl.handle.net/10216/139478.

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鍾立人. "Multivariate Principle Component Analysis Applied in Distillation Column." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/61387910511759122615.

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碩士<br>中原大學<br>化學工程學系<br>87<br>The amount of data that we collect and store in modern chemical industrial plants with well-equipped computerized measurement devices has become quite large, and the volume of acquired data often exceeds our capability to detect whether the process is normal. If the abnormal event cannot be identified in time, the malfunction would cause monetary loss, plant shutdown, or even significant impacts on personnel safety. In this research, statistical process control, including single variable and multivariable methods, is discussed. Shewhart Chart, CUSUM and

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Szkudlarek, Cheryl Ann. "Multivariate Statistical Methods Applied to the Analysis of Trace Evidence." 2013. http://hdl.handle.net/1805/3456.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>The aim of this study was to use multivariate statistical techniques to: (1) determine the reproducibility of fiber evidence analyzed by MSP, (2) determine whether XRF is an appropriate technique for forensic tape analysis, and (3) determine if DART/MS is an appropriate technique for forensic tape analysis. This was achieved by employing several multivariate statistical techniques including agglomerative hierarchical clustering, principal component analysis, discriminant analysis, and analysis of variance. First, twelve dyed textil

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Denis, Daniel J. "The rise of applied multivariate statistics : the consequences of correlation /." 2004. http://wwwlib.umi.com/cr/yorku/fullcit?pNQ99160.

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Thesis (Ph.D.)--York University, 2004. Graduate Programme in Psychology.<br>Typescript. Includes bibliographical references (leaves 182-192). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://wwwlib.umi.com/cr/yorku/fullcit?pNQ99160

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Dayman, Kenneth Joseph. "Multivariate analysis applied to the characterization of spent nuclear fuel." Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-05-5875.

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The Multi-Isotope Process Monitor is being developed at Pacific Northwest National Laboratory as a method to verify the process conditions within a nuclear fuel reprocessing facility using the gamma spectra of various process streams. The technique uses multivariate analysis techniques such as principal component analysis and partial least squares regression applied to gamma spectra collected of a process stream in order to classify the contents as belonging to a normal versus off-normal chemistry process. This approach to process monitoring is designed to function automatically, nondestructiv

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Hassoulas, Vasilios. "General multivariate approximation techniques applied to the finite element method." Thesis, 2015. http://hdl.handle.net/10539/16739.

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Tavares, Jorge Manuel Santos Freire. "Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data." Master's thesis, 2008. http://hdl.handle.net/10362/8218.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação<br>An analysis of the current CRM systems in the Pharmaceutical Industry, the way the pharmaceutical companies developed them and a comparison between Europe and United States was done in this study. Overall the CRM in the pharmaceutical industry is far-behind, when compared with other business areas, like consumer goods, finance (banking) or insurance companies, being pharmaceutical CRM specifically less developed in Europe when compared to United States. One of the big obst

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Hsieh, Tung Liang, and 謝東良. "A Study of Multivariate Analysis applied on the Judgment of Debris Flow Hazards." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/21487398339627860691.

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Reichard, Eric Jonathan. "Chemometrics applied to the discrimination of synthetic fibers by microspectrophotometry." 2014. http://hdl.handle.net/1805/3795.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Microspectrophotometry is a quick, accurate, and reproducible method to compare colored fibers for forensic purposes. The use of chemometric techniques applied to spectroscopic data can provide valuable discriminatory information especially when looking at a complex dataset. Differentiating a group of samples by employing chemometric analysis increases the evidential value of fiber comparisons by decreasing the probability of false association. The aims of this research were to (1) evaluate the chemometric procedure on a data set

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Askew, Andrew Warren. "A comparison of multivariate data analysis techniques as applied to the identification of electrons and tau leptons." Thesis, 2001. http://hdl.handle.net/1911/17401.

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This thesis compares the performance of Probability Density Estimation and Neural Networks as applied to the identification of tau leptons and electrons at the DO detector for Run II. The theory behind each method of multivariate analysis is briefly described. The efficiencies of each of the methods are compared from analysis of Monte Carlo data samples, and optimal choices for the discrimination between signal and background are made.

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"Supervised and Ensemble Classification of Multivariate Functional Data: Applications to Lupus Diagnosis." Doctoral diss., 2018. http://hdl.handle.net/2286/R.I.50109.

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abstract: This dissertation investigates the classification of systemic lupus erythematosus (SLE) in the presence of non-SLE alternatives, while developing novel curve classification methodologies with wide ranging applications. Functional data representations of plasma thermogram measurements and the corresponding derivative curves provide predictors yet to be investigated for SLE identification. Functional nonparametric classifiers form a methodological basis, which is used herein to develop a) the family of ESFuNC segment-wise curve classification algorithms and b) per-pixel ensembles bas

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Miller, Lisa V. "Multivariate statistical analysis of seismic data applied to the delineation of reservoir facies in the Birkhead Formation, Sturt Field, Lake Hope Block." Thesis, 1994. http://hdl.handle.net/2440/122465.

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The delineation of seismically thin reservoirs is a common problem in the exploration for and development of hydrocarbon reserves in many basins. Reservoirs which are thinner than a quarter of the dominant wavelength of the incident wavelet cannot be resolved using time difference measurements made on the seismic waveform. The "thin bed" can only be inferred by waveform analysis. Most "thin bed" studies involve the examination of only a few attributes, for example amplitude and./or frequency of the seismic data. This thesis however, applies multivariate statistics, which can deal quantitativel

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Austin, Elizabeth. "Regression Analysis for Ordinal Outcomes in Matched Study Design: Applications to Alzheimer's Disease Studies." 2018. https://scholarworks.umass.edu/masters_theses_2/628.

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Alzheimer's Disease (AD) affects nearly 5.4 million Americans as of 2016 and is the most common form of dementia. The disease is characterized by the presence of neurofibrillary tangles and amyloid plaques [1]. The amount of plaques are measured by Braak stage, post-mortem. It is known that AD is positively associated with hypercholesterolemia [16]. As statins are the most widely used cholesterol-lowering drug, there may be associations between statin use and AD. We hypothesize that those who use statins, specifically lipophilic statins, are more likely to have a low Braak stage in post-mortem

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Turan, Esra. "Mixture of Factor Analyzers with Information Criteria and the Genetic Algorithm." 2010. http://trace.tennessee.edu/utk_graddiss/853.

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In this dissertation, we have developed and combined several statistical techniques in Bayesian factor analysis (BAYFA) and mixture of factor analyzers (MFA) to overcome the shortcoming of these existing methods. Information Criteria are brought into the context of the BAYFA model as a decision rule for choosing the number of factors m along with the Press and Shigemasu method, Gibbs Sampling and Iterated Conditional Modes deterministic optimization. Because of sensitivity of BAYFA on the prior information of the factor pattern structure, the prior factor pattern structure is learned directly

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Rahmawati, Evi. "Information content and determinants of timeliness of financial reporting of manufacturing firms in Indonesia." Thesis, 2013. https://vuir.vu.edu.au/24830/.

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One of the essential elements of adequate financial reporting is the provision of financial information that is relevant to its users in their decision-making. This financial information should be made available to users within a regulated short period after the end of the financial year. Agency theory suggests that shareholders require protection because management may not always act in the best interests of shareholders. Therefore, timely reporting is important in reducing information asymmetry between management and shareholders, and it may reduce leaks of financial information in an emergi

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Rachtan, Piotr J. "Spatial and Temporal Correlations of Freeway Link Speeds: An Empirical Study." 2012. https://scholarworks.umass.edu/theses/940.

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Congestion on roadways and high level of uncertainty of traffic conditions are major considerations for trip planning. The purpose of this research is to investigate the characteristics and patterns of spatial and temporal correlations and also to detect other variables that affect correlation in a freeway setting. 5-minute speed aggregates from the Performance Measurement System (PeMS) database are obtained for two directions of an urban freeway – I-10 between Santa Monica and Los Angeles, California. Observations are for all non-holiday weekdays between January 1st and June 30th, 2010. Other

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FALCONI, MARTA TECLA. "Remote sensing and electromagnetic modeling applied to weather and forward scatter radar." Doctoral thesis, 2018. http://hdl.handle.net/11573/1080160.

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This dissertation deals with electromagnetic modelling and data analysis, related to radar remote sensing and applied to forward scatter and meteorological polarimetric systems. After an overview of radar fundamentals to introduce the general terminology and concepts, results are presented at the end of each chapter. In this respect, a generalized electromagnetic model is first presented in order to predict the response of forward scatter radars (FSRs) for airtarget surveillance applications in both near-field and far-field regions. The model is discussed for increasing levels of compl

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