Multivariate Data Reduction and Discrimination with SAS Software

✍ Scribed by Ravindra Khattree, Dayanand N. Naik

• Publisher: SAS Publishing
• Year: 2000
• Tongue: English
• Leaves: 583
• Edition: 2nd
• Category: Library

✦ Synopsis

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.

✦ Subjects

Библиотека;Компьютерная литература;SAS / JMP;