Relevant bibliographies by topics / Multivariate analyze

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multivariate analyze'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Multivariate analyze"

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Babolhakami, Ali, and Mohammad Ali Gholami Sefidkouhi. "Analyze of Talar River Water Quality using Multivariate Techniques." journal of watershed management research 9, no. 18 (2019): 250–59. http://dx.doi.org/10.29252/jwmr.9.18.250.

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Barbariol, F., F. M. Falcieri, C. Scotton, A. Benetazzo, S. Carniel, and M. Sclavo. "Self-Organizing Maps approaches to analyze extremes of multivariate wave climate." Ocean Science Discussions 12, no. 4 (2015): 1971–2006. http://dx.doi.org/10.5194/osd-12-1971-2015.

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Abstract. In this paper the Self-Organizing Map (SOM) technique to assess the multivariate sea wave climate at a site is analyzed and discussed with the aim of a more complete representation which includes the most severe sea states that otherwise would be missed by the standard SOM. Indeed, it is commonly recognized, and herein confirmed, that SOM is a good regressor of a sample where the density of events is high (e.g. for low/moderate and frequent sea states), while SOM fails where the density is low (e.g. for severe and rare sea states). Therefore, we have considered a trivariate wave clim
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Rameseder, Jonathan, Konstantin Krismer, Yogesh Dayma, et al. "A Multivariate Computational Method to Analyze High-Content RNAi Screening Data." Journal of Biomolecular Screening 20, no. 8 (2015): 985–97. http://dx.doi.org/10.1177/1087057115583037.

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High-content screening (HCS) using RNA interference (RNAi) in combination with automated microscopy is a powerful investigative tool to explore complex biological processes. However, despite the plethora of data generated from these screens, little progress has been made in analyzing HC data using multivariate methods that exploit the full richness of multidimensional data. We developed a novel multivariate method for HCS, multivariate robust analysis method (M-RAM), integrating image feature selection with ranking of perturbations for hit identification, and applied this method to an HC RNAi
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Wu, Yow-Wu B., and Malcolm J. Slakter. "Introducing a Univariate Method to Analyze Multivariate Data with Two Groups." Nursing Science Quarterly 5, no. 2 (1992): 92–93. http://dx.doi.org/10.1177/089431849200500210.

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Flores, F., M. T. Moreno, and J. I. Cubero. "A comparison of univariate and multivariate methods to analyze G×E interaction." Field Crops Research 56, no. 3 (1998): 271–86. http://dx.doi.org/10.1016/s0378-4290(97)00095-6.

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Padda, Malkeet S., Cassandro V. T. do Amarante, Raphael M. Garcia, David C. Slaughter, and Elizabeth J. Mitcham. "Methods to analyze physico-chemical changes during mango ripening: A multivariate approach." Postharvest Biology and Technology 62, no. 3 (2011): 267–74. http://dx.doi.org/10.1016/j.postharvbio.2011.06.002.

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Yang, Qiong, Hongsheng Wu, Chao-Yu Guo, and Caroline S. Fox. "Analyze multivariate phenotypes in genetic association studies by combining univariate association tests." Genetic Epidemiology 34, no. 5 (2010): 444–54. http://dx.doi.org/10.1002/gepi.20497.

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Premi, Enrico, V. D. Calhoun, V. Garibotto, et al. "Source-Based Morphometry Multivariate Approach to Analyze [123I]FP-CIT SPECT Imaging." Molecular Imaging and Biology 19, no. 5 (2017): 772–78. http://dx.doi.org/10.1007/s11307-017-1052-3.

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Wustqa, Dhoriva Urwatul, Endang Listyani, Retno Subekti, Rosita Kusumawati, Mathilda Susanti, and Kismiantini Kismiantini. "Analisis Data Multivariat Dengan Program R." Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA 2, no. 2 (2018): 83–86. http://dx.doi.org/10.21831/jpmmp.v2i2.21913.

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Analisis multivariat adalah salah satu teknik dalam statistika yang digunakan untuk menganalisis secara simultan variabel lebih dari satu. Perhitungan dalam analisis data multivariat lebih kompleks dibandingkan dengan analisis univariat, sehingga penggunaan program statistika akan mempermudah dalam analisis. Salah satu program statistika yang dapat diperoleh secara gratis (tanpa lisensi) adalah program R. Workshop program R untuk analisis data multivariat bagi para lulusan S1 Pendidikan Matematika/Matematika dan mahasiswa program pasca sarjana Pendidikan Matematika secara umum bertujuan untuk
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LU, CHANG-TIEN, DECHANG CHEN, and YUFENG KOU. "MULTIVARIATE SPATIAL OUTLIER DETECTION." International Journal on Artificial Intelligence Tools 13, no. 04 (2004): 801–11. http://dx.doi.org/10.1142/s021821300400182x.

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A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial outliers can lead to the discovery of unexpected, interesting, and useful spatial patterns for further analysis. Previous work in spatial outlier detection focuses on detecting spatial outliers with a single attribute. In the paper, we propose two approaches to discover spatial outliers with multiple attributes. We formulate the multi-attribute spatial outlier detection problem in a general way, provide two effective de
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Dissertations / Theses on the topic "Multivariate analyze"

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COSTA, Eva Maria Rodrigues. "Divergência genética entre linhagens africanas de feijão-caupi (Vigna unguiculata (L.) Walp.) através de caracterização morfoagronômica e molecular." Universidade Federal Rural de Pernambuco, 2010. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/6228.

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Submitted by (ana.araujo@ufrpe.br) on 2017-02-07T18:00:48Z No. of bitstreams: 1 Eva Maria Rodrigues Costa.pdf: 711267 bytes, checksum: a86bd11ae168a3d37f4a02c1f445907c (MD5)<br>Made available in DSpace on 2017-02-07T18:00:48Z (GMT). No. of bitstreams: 1 Eva Maria Rodrigues Costa.pdf: 711267 bytes, checksum: a86bd11ae168a3d37f4a02c1f445907c (MD5) Previous issue date: 2010-02-24<br>Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq<br>The genetic divergence assessement provides important information for breeding programs. In the present study, the genetic div
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Sayet, Guillaume. "Analyses de macrophages : de la lipidomique à l'oxylipidomique." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS198/document.

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L’athérosclérose est un phénomène inflammatoire caractérisé par un dépôt sur les artères de macrophages gorgés de cholestérol également appelés cellules spumeuses. Actuellement, trois principales molécules membranaires sont décrites comme assurant la sortie du cholestérol libre, dont l’ABCA1 (ATP Binding Cassette A1) qui joue un rôle physiologique important. Le but de ce travail est d’étudier l’impact de l’incorporation d’acides gras ω3 et celui de LDL modifiées sur la composition des phospholipides membranaires et d’établir des liens entre la modification de composition des phospholipides et
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Lans, Ivo A. van der. "Nonlinear multivariate analysis for multiattribute preference data." [Leiden] : DSWO Press, Leiden University, 1992. http://catalog.hathitrust.org/api/volumes/oclc/28733326.html.

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Hinz, Martin. "Eine multivariate Analyse Aunjetitzer Fundgesellschaften." Bonn Habelt, 2007. http://d-nb.info/997269391/04.

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Pitelli, Robinson Luiz de Campos Machado [UNESP]. "Abordagens multivariadas no estudo da dinâmica de comunidades de macrófitas aquáticas." Universidade Estadual Paulista (UNESP), 2006. http://hdl.handle.net/11449/99931.

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Made available in DSpace on 2014-06-11T19:30:24Z (GMT). No. of bitstreams: 0 Previous issue date: 2006-09-04Bitstream added on 2014-06-13T21:01:00Z : No. of bitstreams: 1 pitelli_rlcm_dr_fca.pdf: 512956 bytes, checksum: b7f67dd4835b4a602a6198adbffcab0c (MD5)<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)<br>The aquatic weeds are essentially important in water bodies under strong antropic influence, especially in hydropower water reservoirs built-up in highly urbanized regions. In the energy generation system of hydropower company Light Serviços de Eletricidade , the
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Sandanielo, Vera Lúcia Martins [UNESP]. "Emprego de técnicas estatísticas na construção de índices de desenvolvimento sustentável aplicados a assentamentos rurais." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/101703.

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Made available in DSpace on 2014-06-11T19:31:34Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-12-09Bitstream added on 2014-06-13T19:20:45Z : No. of bitstreams: 1 sandanielo_vlm_dr_botfca.pdf: 734775 bytes, checksum: d8f3fd5e03c633951535510b247b7548 (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>Objetivou-se a construção de Índices Percentuais de “Status” - IDPS (%) visando à ordenação e classificação de assentamentos rurais, em relação ao desenvolvimento sustentável (IDPSDS (%)), considerando aspectos agronômico, socioeconômico e ambiental, para diag
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Wülfert, Florian. "Temperature-robust multivariate calibration." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2004. http://dare.uva.nl/document/76379.

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Salmi-Boukhari, Btissam. "Intégration de données pour la qualité de la viande chez le porc : Méta-analyse et analyse multidimensionnelle." Thesis, Paris, AgroParisTech, 2011. http://www.theses.fr/2011AGPT0060/document.

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La qualité de la viande englobe des critères d'importance différente suivant l'espèce animale considérée. Chez le porc, la qualité de la viande a un impact économique important et de nombreux travaux ont pu montrer que les interactions entre le type génétique (particulièrement les gènes halothane et Rendement Napole), les conditions d'élevage et les conditions d'abattage des animaux déterminent la qualité de la viande de porc. L'Europe, longtemps leader du marché mondial des produits de la viande de porc, se trouve aujourd'hui confronté à la concurrence d'autres pays, notamment le Brésil, les
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Lanzini, Justine. "Recherche de biomarqueurs et études lipidomiques à travers diverses applications en santé." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCB126.

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La notion de biomarqueurs est définie comme « une caractéristique mesurée objectivement et évaluée comme indicateur de processus biologiques normaux ou pathologiques, ou de réponses pharmacologiques à une intervention thérapeutique ». L'intérêt scientifique pour les biomarqueurs est de plus en plus important. Ils permettent, entre autres,une meilleure compréhension des processus pathologiques et de diagnostiquer, voire pronostiquer ces pathologies. Les études « omiques » telles que la lipidomique jouent un rôle essentiel dans la découverte de nouveaux biomarqueurs. La lipidomique consiste à ex
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Salimi, Avansar Alireza. "Längsschnittliche und multivariate Analyse im Spitzenvolleyball." kostenfrei, 2007. http://d-nb.info/988468646/34.

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Books on the topic "Multivariate analyze"

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E, Anderson Rolph, and Tatham Ronald L, eds. Multivariate data analysiswith readings. 2nd ed. Macmillan, 1987.

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Hair, Joseph F. Multivariate data analysis with readings. 2nd ed. Macmillan, 1987.

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Methods of multivariate statistics. Wiley-Interscience, 2002.

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Tabachnick, Barbara G. Using multivariate statistics. 4th ed. Allyn and Bacon, 2001.

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Tabachnick, Barbara G. Using multivariate statistics. 2nd ed. HarperCollins, 1989.

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S, Fidell Linda, ed. Using multivariate statistics. 4th ed. Allyn and Bacon, 2001.

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W, Wichern Dean, ed. Applied multivariate statistical analysis. 3rd ed. Prentice Hall, 1992.

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W, Wichern Dean, ed. Applied multivariate statistical analysis. 4th ed. Prentice Hall, 1998.

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W, Wichern Dean, ed. Applied multivariate statistical analysis. 5th ed. Prentice Hall, 2002.

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Johnson, Richard Arnold. Applied multivariate statistical analysis. 2nd ed. Prentice-Hall, 1988.

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Book chapters on the topic "Multivariate analyze"

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Frank, Ildiko E., Bernard A. Bates, and Donald E. Brownlee. "Multivariate Statistics to Analyze Extraterrestrial Particles from the Ocean Floor." In Data Analysis in Astronomy. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4615-9433-8_6.

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Iluzia Iacob, Andreea, and Costin-Ciprian Popescu. "A Multivariate Mathematical Model to Analyze the Market Prices Correlation at Regional Level." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22603-8_11.

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Backhaus, Klaus, Bernd Erichson, Rolf Weiber, and Wulff Plinke. "Conjoint-Analyse." In Multivariate Analysemethoden. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46076-4_10.

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Handl, Andreas. "Procrustes-Analyse." In Multivariate Analysemethoden. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-08887-6_7.

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Backhaus, Klaus, Bernd Erichson, Wulff Plinke, Christiane Schuchard-Ficher, and Rolf Weiber. "Conjoint-Analyse." In Multivariate Analysemethoden. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-08890-6_8.

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Backhaus, Klaus, Bernd Erichson, Wulff Plinke, Christiane Schuchard-Ficher, and Rolf Weiber. "Conjoint-Analyse." In Multivariate Analysemethoden. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-08891-3_8.

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Handl, Andreas. "Procrustes-Analyse." In Multivariate Analysemethoden. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14987-0_7.

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Backhaus, Klaus, Bernd Erichson, Wulff Plinke, and Rolf Weiber. "Conjoint-Analyse." In Multivariate Analysemethoden. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56655-8_10.

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Kuhlenkasper, Torben, and Andreas Handl. "Procrustes-Analyse." In Multivariate Analysemethoden. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54754-0_7.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Conjoint-Analyse." In Multivariate Analysemethoden. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32425-4_9.

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Conference papers on the topic "Multivariate analyze"

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García-Pineda, Miguel, Santiago Felici-Castell, and Jaume Segura-Garcia. "Multivariate statistical technique over QoS variables to analyze video quality metrics on IEEE 802.11ac networks." In XIII Jornadas de Ingenieria Telematica - JITEL2017. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/jitel2017.2017.6572.

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We present the results from a measurementbasedperformance evaluation of wireless networks basedon IEEE 802.11ac standard in an indoor environment, withthe aim to analyze their performance under high definitionstreaming video applications. We focus our study on analyzingthe highest performance of these standards using off-theshelfequipment as well as the behavior of Quality of Servicevariables and how they affect to the video quality. Thus, wehave analyzed and measured these variables and have applieda multivariate statistical technique, called Factor Analysis,and finally discuss their behavior
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van Dalen, Jan, Wolfgang Ketter, Gianfranco Lucchese, and John Collins. "A Kalman filter approach to analyze multivariate hedonics pricing model in dynamic supply chain markets." In the 12th International Conference. ACM Press, 2010. http://dx.doi.org/10.1145/2389376.2389385.

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Hsu, Chih-Hung, and Liao Ying-Zhou. "Using multivariate statistics to analyze body characteristic index for garment supply chain an industrial application." In 2013 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). IEEE, 2013. http://dx.doi.org/10.1109/soli.2013.6611411.

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Shun Xu, Martin Styner, John Gilmore, Joseph Piven, and Guido Gerig. "Multivariate nonlinear mixed model to analyze longitudinal image data: MRI study of early brain development." In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4563011.

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Langton, John T., Astrid A. Prinz, and Timothy J. Hickey. "NeuroVis: combining dimensional stacking and pixelization to visually explore, analyze, and mine multidimensional multivariate data." In Electronic Imaging 2007, edited by Robert F. Erbacher, Jonathan C. Roberts, Matti T. Gröhn, and Katy Börner. SPIE, 2007. http://dx.doi.org/10.1117/12.706110.

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Li, Ping, Qi Zhu, Chunqi Zhou, Linbin Li, and Hongtao Li. "Metocean Design Criteria Considerations in South China Sea by Adopting Multivariate Extreme Value Theory." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-62541.

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The proper determination of metocean design criteria is critical for offshore structures. We study in this paper the univariate and multivariate compound extreme value theories and their applications to metocean data. Firstly, we adopt Compound Extreme Value Distribution (CEVD) method to derive the marginal distributions of wind speeds and significant wave heights respectively. Modelling uncertainties are considered with different distribution models. Secondly, the basic theory of Bivariate Compound Extreme Value Distribution (BCEVD), especially Poisson Bivariate Gumbel Logistic Distribution (
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Posada, Jose´, Jose´ Solano, and Marco Sanjuan. "Fault Detection of a Water Loop Refrigerating System Using Multivariate Statistics." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40667.

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This paper describes the use of statistical fault detection techniques to improve energy management in a large water loop refrigerating system (WLRS). The water loop has one centrifugal chiller with specified capacity of 420TR in parallel with another screw chiller with specified capacity of 420 TR, feeding several buildings to control the temperature inside them through condenser units. Multivariate statistical fault detection techniques such as Principal Component Analysis (PCA) were used, in order to analyze the historical data from the system to detect abnormal situations, by means of stat
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Zhong, Ming, Jared Schuetter, Srikanta Mishra, and Randy F. LaFollette. "Do Data Mining Methods Matter? : A Wolfcamp “Shale” Case Study." In SPE Hydraulic Fracturing Technology Conference. SPE, 2015. http://dx.doi.org/10.2118/spe-173334-ms.

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Abstract Data mining for production optimization in unconventional reservoirs brings together data from multiple sources with varying levels of aggregation, detail, and quality. Tens of variables are typically included in data sets to be analyzed. There are many statistical and machine learning techniques that can be used to analyze data and summarize the results. These methods were developed to work extremely well in certain scenarios but can be terrible choices in others. The analyst may or may not be trained and experienced in using those methods. The question for both the analyst and the c
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Souza, Uéverton, Fábio Protti, Maise Da Silva, and Dieter Rautenbach. "Multivariate Investigation of NP-Hard Problems: Boundaries Between Parameterized Tractability and Intractability." In XXVIII Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/ctd.2015.9996.

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In this thesis we present a multivariate investigation of the complexity of some NP-hard problems, i.e., we first develop a systematic complexity analysis of these problems, defining its subproblems and mapping which one belongs to each side of an “imaginary boundary” between polynomial time solvability and intractability. After that, we analyze which sets of aspects of these problems are sources of their intractability, that is, subsets of aspects for which there exists an algorithm to solve the associated problem, whose non-polynomial time complexity is purely a function of those sets. Thus,
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Montgomery, David E., Brian E. Lindholm, and Robert L. West. "Monte Carlo Verification of Multivariate Delta Method Variance Estimation of Harmonic Dynamic Response Coefficients." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0342.

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Abstract Time series response data from harmonic tests can be resolved into real and imaginary components. In comparing two signals, one phased relative to the other, the real and imaginary model coefficients of the relative signal represent components that are in phase with the reference signal and 90° out-of-phase, respectively. Obtaining these real and imaginary components is a well understood process. However, determining the quality of the component estimates requires the use of a statistical technique known at the multiple multivariate delta method. In this paper, the delta method is des
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Reports on the topic "Multivariate analyze"

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Rowland, Peter, and Hugo Oliveros. Colombian purchasing power parity analysed using a framework of multivariate cointegration. Banco de la República, 2003. http://dx.doi.org/10.32468/be.252.

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Renz, Manuel. B-jet and c-jet identification with Neural Networks as well as combination of multivariate analyses for the search for of multivariate analyses for the search for single top-quark production. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/957074.

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Tangka, Florence K. L., Sujha Subramanian, Madeleine Jones, et al. Young Breast Cancer Survivors: Employment Experience and Financial Well-Being. RTI Press, 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0041.2007.

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The economic burden of breast cancer for women under 50 in the United States remains largely unexplored, in part because young women make up a small proportion of breast cancer cases overall. To address this knowledge gap, we conducted a web-based survey to compare data from breast cancer survivors 18–39 years of age at first diagnosis and 40–49 years of age at first diagnosis. We administered a survey to a national convenience sample of 416 women who were 18–49 years of age at the time of their breast cancer diagnosis. We analyzed factors associated with financial decline using multivariate r
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Zhang, Yongping, Wen Cheng, and Xudong Jia. Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1920.

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Numerous extant studies are dedicated to enhancing the safety of active transportation modes, but very few studies are devoted to safety analysis surrounding transit stations, which serve as an important modal interface for pedestrians and bicyclists. This study bridges the gap by developing joint models based on the multivariate conditionally autoregressive (MCAR) priors with a distance-oriented neighboring weight matrix. For this purpose, transit-station-centered data in Los Angeles County were used for model development. Feature selection relying on both random forest and correlation analys
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