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SAS Multivariate Data Reduction
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SAS Multivariate Data Reduction Paperback - 2000 - 1st Edition

by Ravindra Khattree; Dayanand N. Naik

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From the publisher

bersichtlich und gut verstndlich erlutert dieses Buch multivariate statistische Methoden anhand praxisnaher Beispiele und Datenstze. Der Schwerpunkt liegt darauf, den Leser zur sinnvollen Interpretation von Datenmaterial zu befhigen. Viel Raum wird der Diskussion von SAS-Code und dem zugehrigen Output gegeben, wobei die geeigneten SAS-Prozeduren an Beispielproblemen anschaulich erklrt werden.

From the rear cover

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. Conceptual developments, theory, methods, and subsequent data analyses are presented systematically and in an integrated manner. Data analysis is performed using many multivariate analysis components available in SAS software. The book provides illustrations using ample numbers of real data sets drawn from a variety of fields, and special care is taken to explain the SAS programs and corresponding output. As a companion volume to their previous book, Applied Multivariate Statistics with SAS Software, Second Edition, 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 the this book also form the foundation of data mining methodology, the book will be of interest to data mining practitioners.

Details

  • Title SAS Multivariate Data Reduction
  • Author Ravindra Khattree; Dayanand N. Naik
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Pages 584
  • Volumes 1
  • Language ENG
  • Publisher Crystal Dreams Publishing
  • Publication date 2000-08-14
  • Illustrated Yes
  • Features Illustrated
  • ISBN 9780471323006 / 0471323004
  • Weight 2.92 lbs (1.32 kg)
  • Dimensions 10.92 x 8.54 x 1.01 in (27.74 x 21.69 x 2.57 cm)
  • Category Computers - Other Applications
  • Library of Congress subjects Multivariate analysis - Data processing
  • Library of Congress Catalogue Number 00028659
  • Dewey Decimal Code 519.535

Media reviews

Citations

  • Scitech Book News, 12/01/2000, Page 39

About the author

Ravindra Khattree is an Indian-American statistician and professor of statistics at Oakland University. His contribution to the Fountain-Khattree-Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. Dayanand N. Naik is the author of Multivariate Data Reduction and Discrimination with SAS Software, published by Wiley.

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by Dayanand N. Naik; Ravindra Khattree

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