• Title Applied Multivariate Statistical Analysis
• Author(s) Wolfgang K. Hardle, Leopold Simar
• Publisher: Springer; 3rd edition (January 3, 2012); 2nd edition (September 10, 2007); eBook (2003)
• Paperback 533 pages
• Language: English
• ISBN-10: 3642172288
• ISBN-13: 978-3642172281
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Book Description

This textbook gives a broad and modern introduction to statistics for multivariate data. A bunch of interesting examples is used to illustrate the 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.

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• Statistics
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• Applied Mathematics

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