Multivariate data commonly encountered in a variety of  disciplines is easy to understand with the approaches and methods  described in Multivariate Data Reduction and Discrimination with SAS  Software. The conceptual developments, theory, methods, and subsequent  data analyses are presented systematically and in an integrated  manner. The data analysis is performed using many multivariate  analysis components available in SAS software.  Illustrations are  provided using an ample number of real data sets drawn from a variety  of fields, and special care is taken to explain the SAS codes and the  interpretation of corresponding outputs. As a companion volume to  their previous book, Applied Multivariate Analysis with SAS Software,  which discusses multivariate normality-based analyses, this book  covers topics where, for the most part, assuming multivariate  normality (or any other distributional assumption) is not crucial. As  the techniques discussed in this book also form the foundation of data  mining methodology, the book will be of interest to data mining  practitioners.    Supports releases 6.12 and higher of SAS software.

Multivariate Data Reduction and Discrimination with SAS Software PDF

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