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Methods of Multivariate Analysis (Wiley Series in Probability and Statistics)

Methods of Multivariate Analysis (Wiley Series in Probability and Statistics)

Methods of Multivariate Analysis (Wiley Series in Probability and Statistics)
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Methods of Multivariate Analysis (Wiley Series in Probability and Statistics) Hardback - 2002

by Rencher, Alvin C

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Wiley-Interscience, 2002-03-07. Hardcover. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking
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Details

  • Title Methods of Multivariate Analysis (Wiley Series in Probability and Statistics)
  • Author Rencher, Alvin C
  • Binding Hardback
  • Edition [ Edition: secon
  • Condition Used - Good
  • Pages 738
  • Volumes 1
  • Language ENG
  • Publisher Wiley-Interscience, New York
  • Publication date 2002-03-07
  • Illustrated Yes
  • Bookseller's Inventory # SKU0204094
  • ISBN 9780471418894 / 0471418897
  • Weight 2.51 lbs (1.14 kg)
  • Dimensions 9.46 x 6.44 x 1.44 in (24.03 x 16.36 x 3.66 cm)
  • Category Mathematics
  • Library of Congress subjects Multivariate analysis
  • Library of Congress Catalogue Number 2001046735
  • Dewey Decimal Code 519.535
  • Quantity available 2

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From the publisher

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen.

When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline.

To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on:

  • Cluster analysis
  • Multidimensional scaling
  • Correspondence analysis
  • Biplots
Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.

About the author

ALVIN C. RENCHER, PhD, is Professor of Statistics at Brigham Young University and a Fellow of the American Statistical Association. He is the author of Linear Models in Statistics and Multivariate Statistical Inference and Applications, both available from Wiley.

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