Multivariate Data Reduction and Discrimination with SAS Software

Ravindra Khattree

ISBN 10: 1580256961 / ISBN 13: 9781580256964

Published by SAS Institute, 2000

About this Item

Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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Bibliographic Details

• Title: Multivariate Data Reduction and Discrimination with SAS Software
• Publisher: SAS Institute
• Publication Date: 2000
• Language: English
• ISBN 10: 1580256961
• ISBN 13: 9781580256964
• Binding: paperback
• Edition: 2nd Edition.
• Condition: Good

About this title

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.

About the Author

Ravindra Khattree

Ravindra Khattree, professor of applied statistics at Oakland University,

Rochester, Michigan, received his graduate training at the Indian Statistical

Institute in Calcutta. He received his graduate training at the University of

Pittsburg in 1985. He is an author or coauthor of numerous research papers

on theoretical and applied statistics in various national and international

journals and conference proceedings. His research interests include

multivariate analysis, experimental designs, quality control, repeatd

measures, and statistical inference. In addition to teaching graduate and

undergraduate courses, Dr. Khattree regularly consults with industry and

academic researchers on various applied statistic problems. He is also an

associate editor of Communications in Statistics and an editor of InterStat,

a statistics journal on the Internet. Additionally, Dr. Khattree is coauthor,

with Dr. Naik, of Applied Multivariate Statistics with SAS Software,

Second Edition.

Dayanand N. Naik

Dayanand N. Naik is an associate professor of statistics at Old Doninion

University, Norfolk, Virginia. He received his M.S. degree in statistics

from Karnatak University on Dharwad, India, and a Ph.D. degree in statistics

from the University of Pittsburgh in 1985. He has published his research in

several well-known journals, and he is the thesis advisor for many graduate

students. His research and teaching interests include multivariate analysis,

linear models, quality control, regression diagnostics, repeated measures

analysis, and growth curve models. Dr. Naik is also an editor of InterStat,

a statistics journal on the Internet. Additionally, Dr. Naik is coauthor,

with Dr. Khattree, of Applied Multivariate Statistics with SAS

Software, Second Edition.