Applied multivariate statistical analysis
著者
書誌事項
Applied multivariate statistical analysis
Springer, c2007
2nd ed
- : pbk
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注記
Includes bibliographical references (p. [451]-454) and index
内容説明・目次
内容説明
With a wealth of examples and exercises, this is a brand new edition of a classic work on multivariate data analysis. A key advantage of the work is its accessibility. This is because, in its focus on applications, the book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who need to analyze statistical data. 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.
目次
- I Descriptive Techniques: Comparison of Batches.- II Multivariate Random Variables: A Short Excursion into Matrix Algebra
- Moving to Higher Dimensions
- Multivariate Distributions
- Theory of the Multinormal
- Theory of Estimation
- Hypothesis Testing.- III 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.- Application in Finance.- Computationally Intensive Techniques.- A: Symbols and Notations.- B: Data.- Bibliography.- Index.
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