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Dissertations / Theses on the topic 'Methods multivariate'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Gabrielsson, Jon. "Multivariate methods in tablet formulation." Doctoral thesis, Umeå : Univ, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-268.

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2

Andersson, Greger. "Novel nonlinear multivariate calibration methods /." Stockholm : Tekniska högsk, 1998. http://www.lib.kth.se/abs98/ande0528.pdf.

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3

Merola, Giovanni Maria. "Dimensionality reduction methods in multivariate prediction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0022/NQ32847.pdf.

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4

Carper, Benjamin Alan. "Assessing Multivariate Heritability through Nonparametric Methods." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2565.pdf.

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5

Aranda, Cotta Higor Henrique. "Robust methods in multivariate time series." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC064.

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Ce manuscrit propose de nouvelles méthodes d’estimation robustes pour les fonctions matricielles d’autocovariance et d’autocorrélation de séries chronologiques multivariées stationnaires pouvant présenter des valeurs aberrantes aléatoires additives. Ces fonctions jouent un rôle important dans l’identification et l’estimation des paramètres de modèles de séries chronologiques multivariées stationnaires. Nous proposons tout d'abord de nouveaux estimateurs des fonctions matricielles d’autocovariance et d’autocorrélation construits en utilisant une approche spectrale à l'aide du périodogramme matr

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6

Andrews, Darren Thomas. "Maximum likelihood multivariate methods in analytical chemistry." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq24729.pdf.

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7

Pivato, Marcus. "Analytical methods for multivariate stable probability distributions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ63698.pdf.

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8

Agniel, Denis Madison. "Statistical Methods for Multivariate and Complex Phenotypes." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070048.

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Many important scientific questions can not be studied properly using a single measurement as a response. For example, many phenotypes of interest in recent clinical research may be difficult to characterize due to their inherent complexity. It may be difficult to determine the presence or absence of disease based on a single measurement, or even a few measurements, or the phenotype may only be defined based on a series of symptoms. Similarly, a set of related phenotypes or measurements may be studied together in order to detect a shared etiology. In this work, we propose methods for studying

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9

Xie, Jiang. "Improved permeability prediction using multivariate analysis methods." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3223.

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10

MARCHANT, FUENTES Carolina Ivonne. "Essays on multivariate generalized Birnbaum-Saunders methods." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/18647.

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Submitted by Rafael Santana (rafael.silvasantana@ufpe.br) on 2017-04-26T17:07:37Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Carolina Marchant.pdf: 5792192 bytes, checksum: adbd82c79b286d2fe2470b7955e6a9ed (MD5)<br>Made available in DSpace on 2017-04-26T17:07:38Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Carolina Marchant.pdf: 5792192 bytes, checksum: adbd82c79b286d2fe2470b7955e6a9ed (MD5) Previous issue date: 2016-10-31<br>CAPES; BOLSA DO CHILE.<br>In the last decades, univa

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11

Siripanthana, Sawaporn. "Sufficient reduction methods for multivariate health surveillance." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/4476/.

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Surveillance systems aim to detect sudden changes or aberrations in data series which might signal the possibility of disease outbreaks. Early detection with a low false alarm rate (FAR) is the main aim of outbreak detection as used in health surveillance or in regard to bioterrorism. Multivariate surveillance is preferable to univariate surveillance since correlation between series (CBS) is recognized and incorporated and so small but consistent shifts are more likely to be detected. In this thesis, sufficient reduction (SR) methods are considered. These are dimensionality reduction tools for

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12

Mulira, Ham-Mukasa. "Computational methods for transformations to multivariate normality." Thesis, London School of Economics and Political Science (University of London), 1992. http://etheses.lse.ac.uk/1352/.

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The classical multivariate theory has been largely based on the multivariate normal distribution (MVN): the scarcity of alternative models for the meaningful and consistent analysis of multiresponse data is a well recognised problem. Further, the complexity of generalising many non-normal univariate distributions makes it undesirable or impossible to use their multivariate versions. Hence, it seems reasonable to inquire about ways of transforming the data so as to enable the use of more familiar statistical techniques that are based implicitly or explicitly on the normal distribution. Techniqu

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13

Huang, Biao. "Multivariate statistical methods for control loop performance assessment." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21580.pdf.

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14

Wiberg, Kent. "Multivariate spectroscopic methods for the analysis of solutions." Doctoral thesis, Stockholm : Institutionen för analytisk kemi, Univ, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-110.

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15

Artursson, Tom. "Development of preprocessing methods for multivariate sensor data /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/tek748s.pdf.

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16

Agrawala, Gautam Kumar. "Regional ground water interpretation using multivariate statistical methods." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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17

Hussein, Wessam Mahmoud Elbestawi Mohamed A. A. Veldhuis Stephen C. "Machining process monitoring using multivariate latent variable methods." *McMaster only, 2007.

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18

Marquier, Basile. "Novel Bayesian methods on multivariate cointegrated time series." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/19341/.

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Many economic time series exhibit random walk or trend dynamics and other persistent non-stationary behaviour (e.g. stock prices, exchange rates, unemployment rate and net trading). If a time series is not stationary, then any shock can be permanent and there is no tendency for its level to return to a constant mean over time; moreover, in the long run, the volatility of the process is expected to grow without bound, and the time series cannot be predicted based on historical observations. Cointegration allows the identification of economic integrated time series that exhibit similar dynamics

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19

Pennell, Michael Lindsey Dunson David B. "Bayesian semiparametric methods for longitudinal, multivariate, and survival data." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,276.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.<br>Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Biostatistics, School of Public Health." Discipline: Biostatistics; Department/School: Public Health.

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20

Eslava-Gomez, Guillermina. "Projection pursuit and other graphical methods for multivariate data." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236118.

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21

Spooner, Andrew. "Multivariate analysis methods for veterinary diagnostics using SIFT-MS." Thesis, Cranfield University, 2010. http://dspace.lib.cranfield.ac.uk/handle/1826/5702.

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Selected ion flow tube mass spectroscopy (SIFT-MS) is an analytical method for the investigation of volatile organic compounds (VOCs). It produces mass to charge (m/z) ratio ion counts with a range of 10-200 m/z. Current data analysis involves sifting through the spectra files one at a time looking for peaks of interest. This is time consuming and requires expert knowledge. This thesis proposes, implements and demonstrates a novel approach to the analysis of SIFT-MS data using multivariate techniques similar to those employed to analyse electronic nose and gas chromatography mass spectroscopy

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22

Floriani, Lauro. "Multivariate statistical methods for studying the mechanics of heuristics." Nice, 2002. http://www.theses.fr/2002NICE5705.

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Les algorithmes constituent la plus efficace base de connaissances conçue par l'homme jusqu'à présent. La NP-completude indique que parmi l'ensemble des problèmes décidables il y en a que nous ne savons pas traiter de manière efficace, c. -à-d. Nous ne savons pas concevoir des algorithmes efficaces pour eux. Cependant, la pratique montre que beaucoup d'algorithmes sont quand même efficaces pour résoudre ces problèmes. C'est à dire que l'analyse expérimentale de leur relation entrée/sortie révèle une bien meilleure situation que ce qui peut être déduit d'une analyse mathématique des propriétés

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23

Rahman, Mazibar. "Comparison of methods for the analysis of repeated measurements experiments." Thesis, University of Aberdeen, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.253650.

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The steps of theoretical aspects of univariate, adjusted univariate and multivariate analysis for repeated measures studies are presented. Some formulas of the test procedures are extended to make computation easy. As a verification and to provide background experience of the test procedures, some recent data from livestock, clinical, psychological and physiological experiments are analysed and the results are incorporated with the theoretical discussion. Considering the repeated measurements experiments model several wellknown procedures are presented for multiple inferences of the occasion c

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24

Zapala, Matthew Alan. "Neurogenomics in the mouse model multivariate statistical methods and analyses /." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3258781.

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Thesis (Ph. D.)--University of California, San Diego, 2007.<br>Title from first page of PDF file (viewed June 8, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

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25

Donner, Reik. "Advanced methods for analysing and modelling multivariate palaeoclimatic time series." Phd thesis, Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2007/1256/.

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26

Flores-Cerrillo, Jesus MacGregor John F. "Quality control for batch processes using multivariate latent variable methods /." *McMaster only, 2003.

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27

Diethe, T. R. "Sparse machine learning methods with applications in multivariate signal processing." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/20450/.

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This thesis details theoretical and empirical work that draws from two main subject areas: Machine Learning (ML) and Digital Signal Processing (DSP). A unified general framework is given for the application of sparse machine learning methods to multivariate signal processing. In particular, methods that enforce sparsity will be employed for reasons of computational efficiency, regularisation, and compressibility. The methods presented can be seen as modular building blocks that can be applied to a variety of applications. Application specific prior knowledge can be used in various ways, result

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28

Fernandes, Gomes da Silva Alexandre Miguel. "Methods for the analysis of multivariate lifetime data with frailty." Thesis, University of Reading, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408331.

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29

Holmes, D. J. "The effect of selection on the robustness of multivariate methods." Thesis, University of Southampton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379321.

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30

Cirovic, Dragan A. "Evaluation os some multivariate calibration methods and their chemometric applications." Thesis, University of Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264093.

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31

Zhong, Xiaoyun. "Multivariate survival analysis methods for mapping genes for complex diseases /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.

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32

Frosi, G. "Multivariate meta-analysis methods for bias reduction in systematic reviews." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3007731/.

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Background: Missing treatment effect estimates for particular outcomes in a study have the potential to affect the conclusions in a meta-analysis (MA), especially if missingness is a result of outcome reporting bias (ORB). ORB comes from the results-based selection for publication of a subset of the original measured outcome variables and can result in overestimating treatment effects, resulting in bias. As well as missing treatment effect estimates at the study level, outcome data may also be missing within studies at the individual participant level. Multivariate meta-analysis (MVMA) of indi

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33

Conesa, Gago Agustin. "Methods to combine predictions from ensemble learning in multivariate forecasting." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-103600.

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Making predictions nowadays is of high importance for any company, whether small or large, as thanks to the possibility to analyze the data available, new market opportunities can be found, risks and costs can be reduced, among others. Machine learning algorithms for time series can be used for predicting future values of interest. However, choosing the appropriate algorithm and tuning its metaparameters require a great level of expertise. This creates an adoption barrier for small and medium enterprises which could not afford hiring a machine learning expert to their IT team. For these reason

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34

Park, Cheolsoo. "Data-driven multivariate and multiscale methods for brain computer interface." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9284.

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This thesis focuses on the development of data-driven multivariate and multiscale methods for brain computer interface (BCI) systems. The electroencephalogram (EEG), the most convenient means to measure neurophysiological activity due to its noninvasive nature, is mainly considered. The nonlinearity and nonstationarity inherent in EEG and its multichannel recording nature require a new set of data-driven multivariate techniques to estimate more accurately features for enhanced BCI operation. Also, a long term goal is to enable an alternative EEG recording strategy for achieving long-term and p

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35

李友榮 and Yau-wing Lee. "Modelling multivariate survival data using semiparametric models." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B4257528X.

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36

Wirsz, Douglas Franklin. "Applications of multivariate methods to inductively coupled plasma optical emmission spectra." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25070.

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The utility of multivariate analysis methods for the qualitative and quantitative analysis of complex ICP optical emission spectra is shown. A photodiode array is used to collect data which are simplified to a low resolution (approx. 4 A) spectrum for a number of knowns and unknowns. The digitized spectra thus obtained are plotted as points in multivariate space (pattern space). The spectra of different elements appear in well defined regions of pattern space. Qualitative analysis is accomplished by methods of cluster analysis and factor analysis. Quantitative analysis is carried out using mul

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37

Felton, Shilo Kimberly. "Novel Applications of Multivariate Methods for Exploring Personality in African Elephants." TopSCHOLAR®, 2013. http://digitalcommons.wku.edu/theses/1301.

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Investigators have shown that elephants exhibit consistent individual differences in behavior by rating elephants using personality adjectives. These adjectives, however, are not based on pre-defined measurements of the behaviors performed. Instead, they are based on the observers’ interpretations of an animal’s behavioral patterns, therefore making them subject to observer bias. Furthermore, elephants have a capacity for learning; thus, they may alter their behavioral patterns over time. This behavioral plasticity in itself might be a way of measuring consistent behavioral differences among i

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38

Einbeck, Jochen. "Local smoothing methods for the analysis of multivariate complex data structures." Diss., [S.l.] : [s.n.], 2003. http://edoc.ub.uni-muenchen.de/archive/00001568.

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39

López, Vilardell Maria Isabel. "Development and validation of multivariate qualitative methods in the food field." Doctoral thesis, Universitat Rovira i Virgili, 2015. http://hdl.handle.net/10803/294599.

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L’objectiu general d’aquesta tesis es el desenvolupament i validació de metodologies analítiques enfocades al anàlisi qualitatiu multivariant. Els mètodes qualitatius són una alternativa als mètodes quantitatius, generalment costosos, quan aquests estan dissenyats per a solucionar problemes que requereixen una resposta binaria (si/no). Aquestes metodologies poden ser utilitzades en una gran diversitat d’àmbits analítics i, en questa tesis, s’han aplicat en l’alimentació (contaminació o adulteració d’aliments). Els treballs que s’han realitzat recauen en les diferents etapes associades al s

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40

Hennerdal, Aron. "Investigation of multivariate prediction methods for the analysis of biomarker data." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5889.

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<p>The paper describes predictive modelling of biomarker data stemming from patients suffering from multiple sclerosis. Improvements of multivariate analyses of the data are investigated with the goal of increasing the capability to assign samples to correct subgroups from the data alone.</p><p>The effects of different preceding scalings of the data are investigated and combinations of multivariate modelling methods and variable selection methods are evaluated. Attempts at merging the predictive capabilities of the method combinations through voting-procedures are made. A technique for improvi

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41

Pan, Guocheng. "Concepts and methods of multivariate information synthesis for mineral resources estimation." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184946.

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This study introduces a new methodology referred to as geoinformation synthesis for multivariate evaluation of mineral resources and integration of diverse geoscience data. The most critical component is the development of the notion of intrinsic samples and the methods for their delineation. Intrinsic samples replace grid cells which are conventionally employed as the basic information reference. Grid cell sampling has imposed several serious limitations on the geoscience and genetic information that can be objectively related to mineral endowment. Methods based upon intrinsic samples moderat

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42

Möller, Annette [Verfasser], and Tilmann [Akademischer Betreuer] Gneiting. "Multivariate and spatial ensemble postprocessing methods / Annette Möller ; Betreuer: Tilmann Gneiting." Heidelberg : Universitätsbibliothek Heidelberg, 2014. http://d-nb.info/118029971X/34.

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43

Badcock, Julie. "Projection methods for use in the analysis of multivariate process data." Thesis, University of Exeter, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272980.

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44

Iotchkova, Valentina Valentinova. "Bayesian methods for multivariate phenotype analysis in genome-wide association studies." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:66fd61e1-a6e3-4e91-959b-31a3ec88967c.

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Most genome-wide association studies search for genetic variants associated to a single trait of interest, despite the main interest usually being the understanding of a complex genotype-phenotype network. Furthermore, many studies collect data on multiple phenotypes, each measuring a different aspect of the biological system under consideration, therefore it can often make sense to jointly analyze the phenotypes. However this is rarely the case and there is a lack of well developed methods for multiple phenotype analysis. Here we propose novel approaches for genome-wide association analysis,

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45

Lopez, Montero Eduardo. "Use of multivariate statistical methods for control of chemical batch processes." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/use-of-multivariate-statistical-methods-for-control-of-chemical-batch-processes(6cf45624-2388-4e85-b4c6-99503547ad06).html.

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In order to meet tight product quality specifications for chemical batch processes, it is vital to monitor and control product quality throughout the batch duration. However, the frequent lack of in situ sensors for continuous monitoring of batch product quality complicates the control problem and calls for novel control approaches. This thesis focuses on the study and application of multivariate statistical methods to control product quality in chemical batch processes. These multivariate statistical methods can be used to identify data-driven prediction models that can be integrated within a

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46

Joner, Michael D. Jr. "Univariate and Multivariate Surveillance Methods for Detecting Increases in Incidence Rates." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26773.

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It is often important to detect an increase in the frequency of some event. Particular attention is given to medical events such as mortality or the incidence of a given disease, infection or birth defect. Observations are regularly taken in which either an incidence occurs or one does not. This dissertation contains the result of an investigation of prospective monitoring techniques in two distinct surveillance situations. In the first situation, the observations are assumed to be the results of independent Bernoulli trials. Some have suggested adapting the scan statistic to monitor such

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47

Hervás, Marín David. "Use of multivariate statistical methods for the analysis of metabolomic data." Doctoral thesis, Universitat Politècnica de València, 2019. http://hdl.handle.net/10251/130847.

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[ES] En las últimas décadas los avances tecnológicos han tenido como consecuencia la generación de una creciente cantidad de datos en el campo de la biología y la biomedicina. A día de hoy, las así llamadas tecnologías "ómicas", como la genómica, epigenómica, transcriptómica o metabolómica entre otras, producen bases de datos con cientos, miles o incluso millones de variables. El análisis de datos ómicos presenta una serie de complejidades tanto metodoló-gicas como computacionales que han llevado a una revolución en el desarrollo de nuevos métodos estadísticos específicamente diseñados para t

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48

NERI, Patrícia Maria da Silva. "Extração de compostos fenólicos de Maytenus rigida MART. (BOMNOME): planejamento fatorial e atividade antimicrobiana." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/20124.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-07-28T14:37:58Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) DISSERTAÇÃO PATRÍCIA NERI (PPGCF) - VERSÃO DIGITAL.pdf: 2349213 bytes, checksum: 73f2d950a1240688c94ba3d7578fe8e4 (MD5)<br>Made available in DSpace on 2017-07-28T14:37:58Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) DISSERTAÇÃO PATRÍCIA NERI (PPGCF) - VERSÃO DIGITAL.pdf: 2349213 bytes, checksum: 73f2d950a1240688c94ba3d7578fe8e4 (MD5) Previous issue dat

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49

Cheevatanarak, Suchittra. "A Comparison of Multivariate Normal and Elliptical Estimation Methods in Structural Equation Models." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc278401/.

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In the present study, parameter estimates, standard errors and chi-square statistics were compared using normal and elliptical estimation methods given three research conditions: population data contamination (10%, 20%, and 30%), sample size (100, 400, and 1000), and kurtosis (kappa =1,10, 20).

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50

Schröder, Benjamin [Verfasser]. "Multivariate Methods for Life Safety Analysis in Case of Fire / Benjamin Schröder." Wuppertal : Universitätsbibliothek Wuppertal, 2017. http://d-nb.info/1141193191/34.

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