Applied Multivariate Statistical Analysis

* Revised and updated second edition offers a broader range of material * Wide scope of methods and applications, making this a comprehensive treatment of the subject * A wealth of examples and exercises – ideal for students in economics and finance * Quantlets in R and Matlab available online This is a brand new edition of a classic work on multivariate data analysis. 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.

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 availa