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Titlebook: Applied Multivariate Statistical Analysis; Wolfgang Härdle,Léopold Simar Textbook 20072nd edition Springer-Verlag Berlin Heidelberg 2007 A

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期刊全称Applied Multivariate Statistical Analysis
影响因子2023Wolfgang Härdle,Léopold Simar
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发行地址Wide scope of methods and applications.Quantlets in R and Matlab available online.Many examples and exercises.Includes supplementary material:
图书封面Titlebook: Applied Multivariate Statistical Analysis; Wolfgang Härdle,Léopold Simar Textbook 20072nd edition Springer-Verlag Berlin Heidelberg 2007 A
影响因子.Most of the observable phenomena in the empirical sciences are of a multivariate nature.In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying theoretical structure of these and many other quantitative studies of applied sciences is multivariate. Focussing on applications this book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who face statistical data analysis. .In this second edition a wider scope of methods and applications of multivariate statistical analysis is introduced. All quantlets have been translated into the R and Matlab language and are made available online..
Pindex Textbook 20072nd edition
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书目名称Applied Multivariate Statistical Analysis影响因子(影响力)




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书目名称Applied Multivariate Statistical Analysis被引频次




书目名称Applied Multivariate Statistical Analysis被引频次学科排名




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书目名称Applied Multivariate Statistical Analysis年度引用学科排名




书目名称Applied Multivariate Statistical Analysis读者反馈




书目名称Applied Multivariate Statistical Analysis读者反馈学科排名




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Hypothesis TestingIn the preceding chapter, the theoretical basis of estimation theory was presented. Now we turn our interest towards testing issues: we want to test the hypothesis . that the unknown parameter . belongs to some subspace of ℝ.. This subspace is called the . and will be denoted by Ω. ⊂ ∝..
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Entwicklung und Situation des Baumarktes observations of a variable vector . in ℝ.. That is, we suppose that each observation . has . dimensions: . and that it is an observed value of a variable vector . ∈ ℝ.. Therefore, . is composed of . random variables: . where ., for . = 1, . . ., ., is a one-dimensional random variable. How do we be
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