<電子ブック>
Applied Multivariate Statistical Analysis / by Wolfgang Karl Härdle, Léopold Simar
版 | 2nd ed. 2007. |
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出版者 | (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer) |
出版年 | 2007 |
本文言語 | 英語 |
大きさ | XII, 458 p : online resource |
著者標目 | *Härdle, Wolfgang Karl author Simar, Léopold author SpringerLink (Online service) |
件 名 | LCSH:Probabilities LCSH:Statistics LCSH:Econometrics LCSH:Social sciences -- Mathematics 全ての件名で検索 FREE:Probability Theory FREE:Statistical Theory and Methods FREE:Quantitative Economics FREE:Mathematics in Business, Economics and Finance FREE:Statistics in Business, Management, Economics, Finance, Insurance |
一般注記 | Descriptive Techniques -- Comparison of Batches -- Multivariate Random Variables -- A Short Excursion into Matrix Algebra -- Moving to Higher Dimensions -- Multivariate Distributions -- Theory of the Multinormal -- Theory of Estimation -- Hypothesis Testing -- Multivariate Techniques -- Decomposition of Data Matrices by Factors -- Principal Components Analysis -- Factor Analysis -- Cluster Analysis -- Discriminant Analysis -- Correspondence Analysis -- Canonical Correlation Analysis -- Multidimensional Scaling -- Conjoint Measurement Analysis -- Applications in Finance -- Computationally Intensive Techniques 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 HTTP:URL=https://doi.org/10.1007/978-3-540-72244-1 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783540722441 |
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EB00233362 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA273.A1-274.9 DC23:519.2 |
書誌ID | 4000116874 |
ISBN | 9783540722441 |
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※2017年9月4日以降