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Dissertations / Theses on the topic 'Principal components'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Nunes, Madalena Baioa Paraíso. "Portfolio selection : a study using principal component analysis." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14598.

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Mestrado em Finanças<br>Nesta tese aplicámos a análise de componentes principais ao mercado bolsista português usando os constituintes do índice PSI-20, de Julho de 2008 a Dezembro de 2016. Os sete primeiros componentes principais foram retidos, por se ter verificado que estes representavam as maiores fontes de risco deste mercado em específico. Assim, foram construídos sete portfólios principais e comparámo-los com outras estratégias de alocação. Foram construídos o portfólio 1/N (portfólio com investimento igual para cada um dos 26 ativos), o PPEqual (portfólio com igual investimento em cada

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2

Kassaye, Meseret Haile, and Yigit Demir. "Calibration Based On Principal Components." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-26582.

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This study is concerned in reducing high dimensionality problem of auxiliary variables in the calibration estimation with the presence of nonresponse. The calibration estimation is a weighting method assists to compensate for the nonresponse in the survey analysis. Calibration estimation using principal components (PCs) is new idea in the literatures. Principal component analysis (PCA) is used in reduction dimension of the auxiliary variables. PCA in calibration estimation is presented as an alternative method for choosing the auxiliary variables. In this study, simulation on the real data is

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3

Sun, Linjuan. "Simple principal components." Thesis, Open University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429528.

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4

Duras, Toni. "Aspects of common principal components." Licentiate thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-38587.

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The focus of this thesis is the common principal component (CPC) model, the generalization of principal components to several populations. Common principal components refer to a group of multidimensional datasets such that their inner products share the same eigenvectors and are therefore simultaneously diagonalized by a common decorrelator matrix. Common principal component analysis is essentially applied in the same areas and analysis as its one-population counterpart. The generalization to multiple populations comes at the cost of being more mathematically involved, and many problems in the

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5

Brubaker, S. Charles. "Extensions of principal components analysis." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29645.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Santosh Vempala; Committee Member: Adam Kalai; Committee Member: Haesun Park; Committee Member: Ravi Kannan; Committee Member: Vladimir Koltchinskii. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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6

Khwambala, Patricia Helen. "The importance of selecting the optimal number of principal components for fault detection using principal component analysis." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/11930.

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Includes summary.<br>Includes bibliographical references.<br>Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization. Principal component analysis is one of the statistical techniques that are used for fault detection. Determination of the number of PCs to be retained plays a big role in detecting a fault using the PCA technique. In this dissertation focus has been drawn on the methods of determining the number of PCs to be retained for accurate and effective fault detect

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Zavala, Frank Alcorta. "Principals' Perceptions of the Most Important Components in an Effective Principal Preparation Program." ScholarWorks, 2014. https://scholarworks.waldenu.edu/dissertations/26.

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Researchers in educational leadership have identified a need to improve principal preparation programs to meet today's educational demands. According to school administrators in the local area, not all leadership preparation programs used the same pedagogies to prepare future leaders, and principals were critical of existing leadership practices. School districts, students, parents, and community stakeholders would benefit from well-prepared administrators who can apply the most effective habits of principalship. The conceptual framework of the study was derived from J. Davis and Jazzar's 7 ha

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8

Brandenberg, Romano Rodolfo. "Principal Components Analysis of Commodity Trading Advisors." St. Gallen, 2008. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/02604577002/$FILE/02604577002.pdf.

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9

Uddin, Mudassir. "Interpretation of results from simplified principal components." Thesis, University of Aberdeen, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301216.

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Linear multivariate statistical methods are widely used for analysing data sets which consist of a large number of variables. These techniques, which include principal component analysis, factor analysis, canonical correlation analysis, redundancy analysis and discriminant analysis, all produce a set of new variables, commonly called 'factors', according to some criterion which differs for different techniques. Among these techniques, principal component analysis is one of the most popular techniques used for reducing the dimensions of the multivariate data set. In many applications, when Prin

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Neuenschwander, Beat. "Common principal components for dependent random vectors /." [Bern] : [s.n.], 1991. http://www.ub.unibe.ch/content/bibliotheken_sammlungen/sondersammlungen/dissen_bestellformular/index_ger.html.

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11

Gu, Hong, and 谷紅. "Influence diagnostics in principal components and canonical analyses." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31238518.

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12

Pepler, Pieter Theo. "The identification and application of common principal components." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/96101.

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Thesis (PhD)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: When estimating the covariance matrices of two or more populations, the covariance matrices are often assumed to be either equal or completely unrelated. The common principal components (CPC) model provides an alternative which is situated between these two extreme assumptions: The assumption is made that the population covariance matrices share the same set of eigenvectors, but have di erent sets of eigenvalues. An important question in the application of the CPC model is to determine whether it is appropriate for the da

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López, Alfageme Alfredo Ignacio. "Nonlinear principal components analysis for measures and images." Tesis, Universidad de Chile, 2013. http://www.repositorio.uchile.cl/handle/2250/114861.

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Doctor en Ciencias de la Ingeniería, Mención Modelación Matemática<br>En esta tesis definimos dos adaptaciones no-lineales del análisis de componentes principales, para el estudio de la variabilidad de datos conformados por medidas de probabilidad y por imágenes. En el Capitulo 2 introducimos el método de análisis de componentes principales geodésico (ACPG) en el espacio de medidas de probabilidad en la línea real, con segundo momento finito, dotado de la métrica de Wasserstein. Apoyándonos en la estructura pseudo-riemanniana del espacio de Wasserstein, definimos el ACPG basado en adaptacione

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Bhamani, Feroz. "Hedging Interest-Rate Options Using Principal Components Analysis." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29250.

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It is often a goal of the risk management of a portfolio of interest rate sensitive instruments to minimize the impact of movements in market rates on the value of the portfolio. This can be done by considering the sensitivity of the portfolio to each of the market rates that are used to bootstrap a yield curve. However, this is likely to lead to an excessive amount of trading due to an investment in a large number of hedging securities. As an alternative, we consider using principal components analysis (PCA) to condense most of the variability in the market rates into a much smaller number of

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15

Murphy, Terrence Edward. "Multivariate Quality Control Using Loss-Scaled Principal Components." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-11222004-122326/unrestricted/murphy%5Fterrence%5Fe%5F200412%5Fphd.pdf.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2005.<br>Victoria Chen, Committee Co-Chair ; Kwok Tsui, Committee Chair ; Janet Allen, Committee Member ; David Goldsman, Committee Member ; Roshan Vengazhiyil, Committee Member. Vita. Includes bibliographical references.

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Fountanas, Leonidas. "Principal components based techniques for hyperspectral image data." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FFountanas.pdf.

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Fučík, Vojtěch. "Principal component analysis in Finance." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-264205.

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The main objective of this thesis is to summarize and possibly interconnect the existing methodology on principal components analysis, hierarchical clustering and topological organization in the financial and economic networks, linear regression and GARCH modeling. In the thesis the clustering ability of PCA is compared with the more conventional approaches on a set of world stock market indices returns in different time periods where the time division is represented by The World Financial Crisis of 2007-2009. It is also observed whether the clustering of DJIA index components is underlied by

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18

Patak, Zdenek. "Robust principal component analysis via projection pursuit." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29737.

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In principal component analysis (PCA), the principal components (PC) are linear combinations of the variables that minimize some objective function. In the classical setup the objective function is the variance of the PC's. The variance of the PC's can be easily upset by outlying observations; hence, Chen and Li (1985) proposed a robust alternative for the PC's obtained by replacing the variance with an M-estimate of scale. This approach cannot achieve a high breakdown point (BP) and efficiency at the same time. To obtain both high BP and efficiency, we propose to use MM- and τ-estimates in pl

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Brennan, Victor L. "Principal component analysis with multiresolution." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/ank7079/brennan%5Fdissertation.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 xi, 124 p.; also contains graphics. Vita. Includes bibliographical references (p. 120-123).

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Ganey, Raeesa. "Biplots based on principal surfaces." Doctoral thesis, Faculty of Science, 2019. https://hdl.handle.net/11427/31695.

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Principal surfaces are smooth two-dimensional surfaces that pass through the middle of a p-dimensional data set. They minimise the distance from the data points, and provide a nonlinear summary of the data. The surfaces are nonparametric and their shape is suggested by the data. The formation of a surface is found using an iterative procedure which starts with a linear summary, typically with a principal component plane. Each successive iteration is a local average of the p-dimensional points, where an average is based on a projection of a point onto the nonlinear surface of the previous itera

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Vargas-Guzman, Jose Antonio 1961. "Scaling variances, correlation and principal components with multivariate geostatistics." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282813.

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A new concept of dispersion (cross) covariance has been introduced for the modeling of spatial scale dependent multivariate correlations. Such correlations between attributes depend on the spatial size of the domain and size of samples in the population and have been modeled by first time in this research. Modeled correlations have been used to introduce a new scale dependent principal component analysis (PCA) method. This method is based on computation of eigen values and vectors from dispersion covariance matrices or scale dependent correlations which can be modeled from integrals of matrix

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Burka, Zak. "Perceptual audio classification using principal component analysis /." Online version of thesis, 2010. http://hdl.handle.net/1850/12247.

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23

Wedlake, Ryan Stuart. "Robust principal component analysis biplots." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/929.

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Silva, Norberto da [UNESP]. "Aplicativo computacional para utilização de componentes principais em experimentação agronômica." Universidade Estadual Paulista (UNESP), 2005. http://hdl.handle.net/11449/90718.

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Made available in DSpace on 2014-06-11T19:24:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-09-08Bitstream added on 2014-06-13T18:52:36Z : No. of bitstreams: 1 silva_nr_me_botfca.pdf: 603039 bytes, checksum: 4acd5387f9aeb3ee2adb6a3405b329e6 (MD5)<br>Os experimentos agronômicos, em geral, apresentam uma quantidade razoável de variáveis observadas e uma complexa estrutura de variação entre e dentro dessas variáveis. Essa estrutura de variação acarreta uma dificuldade para a utilização dos procedimentos requeridos pelo modelo estatístico, em virtude do difícil acesso a programas comp

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25

Lloret, Felipe Cyrillo 1988. "Pterodon pubescens Benth. : influência da exposição de frutos ao calor no teor de vouacapanos sobre a atividade antiproliferativa in vitro." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/288222.

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Orientador: Mary Ann Foglio<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Odontologia de Piracicaba<br>Made available in DSpace on 2018-08-26T10:27:31Z (GMT). No. of bitstreams: 1 Lloret_FelipeCyrillo_M.pdf: 3758612 bytes, checksum: 7002aac1760fd55833ce91a085d63599 (MD5) Previous issue date: 2014<br>Resumo: A Pterodon pubescens Benth, conhecida como sucupira é nativa das regiões que consiste o cerrado brasileiro, nos estados de Minas Gerais, São Paulo, Goiás e Mato Grosso do Sul. Nosso grupo iniciou estudos com a espécie Pterodon pubescens Benth em 1998. Inicial

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Vargas, Giovana. "A genomic association and prediction of principal components of growth traits and visual scores in Nellore cattle /." Jaboticabal, 2018. http://hdl.handle.net/11449/180489.

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Orientador: Roberto Carvalheiro<br>Coorientador: Danísio Prado Munari<br>Coorientador: Haroldo Henrique de Rezende Neves<br>Resumo: A análise de componentes principais (ACP) é uma técnica da estatística multivariada usada para avaliar as relações entre diferentes características a fim de eliminar a redundância resultante de suas correlações. No melhoramento genético animal, a ACP tem sido usada para explorar possíveis interpretações biológicas associadas aos componentes principais (CPs) que podem levar a caracterização de diferentes biotipos de animais. Os objetivos do presente estudo foram: i

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Saad, Maarouf. "Application of principal components analysis to long-term reservoir management." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75910.

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Determining the optimal long-term operating policy of a multi-reservoir power system requires solution of a stochastic nonlinear programming problem. For small systems, the solution can be found by dynamic programming, but for large systems no direct solution method exists yet, so that one must resort to mathematical manipulations to solve the problem. This thesis presents a very efficient procedure for the case where high correlation exists between the state variables. It consists in performing principal components analysis on the trajectories to find a reduced model of the system. The reduce

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Zayed, Mohammad Abd-Allateef. "Curve estimation based on localised principal components : theory and applications." Thesis, Durham University, 2011. http://etheses.dur.ac.uk/3330/.

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In this work, basic theory and some proposed developments to localised principal components and curves are introduced. In addition, some areas of application for local principal curves are explored. Only relatively recently, localised principal components utilising kernel-type weights have found their way into the statistical literature. In this study, the asymptotic behaviour of the method is investigated and extended to the context of local principal curves, where the characteristics of the points at which the curve stops at the edges are identified. This is used to develop a method that let

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Lee, Wonwoo. "Fractional principal components regression: a general approach to biased estimators." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/49819.

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Cheng, Tze-shan. "Trend forecasting of tropical cyclone behaviour using Eigenvector analysis of the relationship with 500 hPa pattern /." [Hong Kong : University of Hong Kong], 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12354636.

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Griffin, Kent E. "Solving the principal minor assignment problem and related computations." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Dissertations/Summer2006/k%5Fgriffin%5F061406.pdf.

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32

Shannak, Kamal Majed. "On Non-Linear Principal Component Analysis for Process Monitoring." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/ShannakKM2004.pdf.

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Liu, Junshi, Caleb D. Bazyler, Christopher B. Taber, Tony Pustina, and Satoshi Mizuguchi. "Application of Principal Components Analysis in Kinetics Study for Isometric Squat." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/3839.

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Martins, Fredgardson Costa [UNESP]. "Relação solo-vegetação em área de cerrado no nordeste do Maranhão, Brasil." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/121985.

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Made available in DSpace on 2015-04-09T12:28:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-09-18Bitstream added on 2015-04-09T12:47:54Z : No. of bitstreams: 1 000812398.pdf: 1324699 bytes, checksum: d0d715f59d8c26b64d6a305766066855 (MD5)<br>A vegetação do bioma Cerrado é predominantemente constituída por fisionomias savânicas (cerrado lato sensu). Os fatores que determinam a distribuição das diferentes fisionomias estão em constante debate, e têm sido relacionados principalmente a gradientes de fertilidade, profundidade do solo, disponibilidade hídrica, ocorrência de fogo, pressã

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Sousa, Camila Campêlo de. "Mapeamento associativo para tolerância a altas temperaturas em germoplasma exótico de soja (Glycine max)." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/11/11137/tde-08012016-092538/.

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A soja está entre as principais culturas mundiais, uma vez que é uma excelente fonte de proteínas e óleo. Além disso, a espécie é aproveitada também pela indústria de biocombustíveis. Considerando a importância das novas mudanças climáticas no agronegócio; para a soja, esta situação é agravada em virtude das condições de temperatura e latitude recomendadas para a semeadura. Dessa forma, para aumentar a produtividade da cultura mesmo frente ao aquecimento global, fazse fundamental o desenvolvimento de cultivares com alta produtividade e tolerantes às altas temperaturas. Neste contexto, o objeti

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Martins, Fredgardson Costa. "Relação solo-vegetação em área de cerrado no nordeste do Maranhão, Brasil /." Jaboticabal, 2014. http://hdl.handle.net/11449/121985.

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Orientador: José Marques Junior<br>Coorientador: Nivaldo de Figueiredo<br>Banca: Gener Tadeu Pereira<br>Banca: Maria Esmeralda Soares Payão Demattê<br>Banca: Mara de Andrade Marinho<br>Banca: André Luiz Gomes da Silva<br>Resumo: A vegetação do bioma Cerrado é predominantemente constituída por fisionomias savânicas (cerrado lato sensu). Os fatores que determinam a distribuição das diferentes fisionomias estão em constante debate, e têm sido relacionados principalmente a gradientes de fertilidade, profundidade do solo, disponibilidade hídrica, ocorrência de fogo, pressão antrópica e topografia.

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Cao, Zisheng, and 曹子晟. "Incremental algorithms for multilinear principal component analysis of tensor objects." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/208151.

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In recent years, massive data sets are generated in many areas of science and business, and are gathered by using advanced data acquisition techniques. New approaches are therefore required to facilitate effective data management and data analysis in this big data era, especially to analyze multidimensional data for real-time applications. This thesis aims at developing generic and effective algorithms for compressing and recovering online multidimensional data, and applying such algorithms in image processing and other related areas. Since multidimensional data are usually represented by t

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Allemang, Matthew R. "Comparison of Automotive Structures Using Transmissibility Functions and Principal Component Analysis." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367944783.

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Le, Hanh T. Banking &amp Finance Australian School of Business UNSW. "Discrete PCA: an application to corporate governance research." Awarded by:University of New South Wales. Banking & Finance, 2007. http://handle.unsw.edu.au/1959.4/40753.

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This thesis introduces the application of discrete Principal Component Analysis (PCA) to corporate governance research. Given the presence of many discrete variables in typical governance studies, I argue that this method is superior to standard PCA that has been employed by others working in the area. Using a dataset of 244 companies listed on the London Stock Exchange in the year 2002-2003, I find that Pearson's correlations underestimate the strength of association between two variables, when at least one of them is discrete. Accordingly, standard PCA performed on the Pearson correlation ma

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Zeng, Yicheng. "Order determination for large matrices with spiked structure." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/667.

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Motivated by dimension reduction in regression analysis and signal detection, we investigate order determination for large dimensional matrices with spiked structures in which the dimensions of the matrices are proportional to the sample sizes. Because the asymptotic behaviors of the estimated eigenvalues differ completely from those in fixed dimension scenarios, we then discuss the largest possible order, say q, we can identify and introduce criteria for different settings of q. When q is assumed to be fixed, we propose a "valley-cliff" criterion with two versions - one based on the original

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Ho, Chi-wing Daniel. "An analysis of property-specific quality attributes for office buildings /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21979315.

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Morris, Annie J. "Geospatial and statistical foundations for streamflow synthesis in West Virginia." Morgantown, W. Va. : [West Virginia University Libraries], 2002. http://etd.wvu.edu/templates/showETD.cfm?recnum=2738.

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Thesis (M.S.)--West Virginia University, 2002.<br>Title from document title page. Document formatted into pages; contains vi, 67 p. : ill. (some col.), col. maps. Includes abstract. Includes bibliographical references (p. 65-67).

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Hissanaga, Hugo Mamoru Aoki. "Previsão da curva de juros com análise de componentes principais utilizando matriz de covariâcia de longo prazo." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/96/96131/tde-27102017-102841/.

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Apesar da Análise de Componentes Principais (PCA) ser um dos métodos mais importantes na análise da estrutura a termo de taxa de juros, há fortes indícios de não ser adequada para estimar fatores da curva de juros quando há presença de dependência temporal e erros de medida. Para corrigir esses problemas é indicado utilizar a matriz de covariância de longo prazo, extraindo a correta estrutura de covariância presente nestes processos. Neste trabalho, mostramos que realizar a previsão fora da amostra da curva de taxa de juros com o método de Análise de Componentes Principais (PCA) utilizando com

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Moraes, Amanda Carolina Prado de [UNESP]. "Diversidade fenotípica e determinação do teor de óleo em pinhão-manso por espectroscopia no infravermelho próximo." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/139509.

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Submitted by AMANDA CAROLINA PRADO DE MORAES null (amandacpmoraes@yahoo.com.br) on 2016-06-22T14:46:47Z No. of bitstreams: 1 Dissertação CORRIGIDA_VERSÃO FINAL (1) (1).pdf: 1286128 bytes, checksum: f9b38615935f79407664f88d4e940988 (MD5)<br>Approved for entry into archive by Ana Paula Grisoto (grisotoana@reitoria.unesp.br) on 2016-06-22T17:12:25Z (GMT) No. of bitstreams: 1 moraes_acp_me_jabo.pdf: 1286128 bytes, checksum: f9b38615935f79407664f88d4e940988 (MD5)<br>Made available in DSpace on 2016-06-22T17:12:25Z (GMT). No. of bitstreams: 1 moraes_acp_me_jabo.pdf: 1286128 bytes, checksum: f9b

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Pirotta, Melina Zacarelli [UNESP]. "Resistência ao tripes-do-prateamento e seleção em genótipos interespecíficos de amendoim." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/141884.

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Silva, Nilza Regina da 1950. "Aplicativo computacional para utilização de componentes principais em experimentação agronômica /." Botucatu : [s.n.], 2005. http://hdl.handle.net/11449/90718.

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Orientador: Carlos Roberto Padovani<br>Banca: Adalberto José Crocci<br>Banca: Luiz Gonzaga Manzine<br>Resumo: Os experimentos agronômicos, em geral, apresentam uma quantidade razoável de variáveis observadas e uma complexa estrutura de variação entre e dentro dessas variáveis. Essa estrutura de variação acarreta uma dificuldade para a utilização dos procedimentos requeridos pelo modelo estatístico, em virtude do difícil acesso a programas computacionais para a análise dos dados multivariados. Uma alternativa para redimensionar a quantidade de variáveis consiste na técnica dos componentes princ

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Ragozzine, Brett A. "Modeling the Point Spread Function Using Principal Component Analysis." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1224684806.

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Rao, Naresh Krishna. "Scheduling optimal maintenance times for a system based on component reliabilities." Diss., Virginia Tech, 1992. http://scholar.lib.vt.edu/theses/available/etd-05042006-164506/.

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Valle-Cervantes, Sergio. "Plant-wide monitoring of processes under closed-loop control." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3035991.

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Davis, Christopher Brent Busch Kenneth W. Busch Marianna A. "Application of chemometric analysis to UV-visible and diffuse near-infrared reflectance spectra." Waco, Tex. : Baylor University, 2007. http://hdl.handle.net/2104/5042.

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