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Multivariate Analysis – Methods and Applications

Multivariate Analysis – Methods and Applications

Multivariate Analysis – Methods and Applications
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Multivariate Analysis – Methods and Applications Hardback - 1984 - 1st Edition

by William R. Dillon/ Matthew Goldstein

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John Wiley & Sons Inc, 1984. Hardcover. New. 1st edition. 608 pages. 10.00x6.75x1.25 inches.
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Details

  • Title Multivariate Analysis – Methods and Applications
  • Author William R. Dillon/ Matthew Goldstein
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 608
  • Volumes 1
  • Language ENG
  • Publisher John Wiley & Sons Inc, New York
  • Publication date 1984
  • Features Bibliography, Index
  • Bookseller's Inventory # x-0471083178
  • ISBN 9780471083177 / 0471083178
  • Weight 2.22 lbs (1.01 kg)
  • Dimensions 9.56 x 6.49 x 1.32 in (24.28 x 16.48 x 3.35 cm)
  • Category Mathematics
  • Library of Congress subjects Multivariate analysis
  • Library of Congress Catalogue Number 84003584
  • Dewey Decimal Code 519.535
  • Quantity available 2

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Reader reviews for Multivariate Analysis – Methods and Applications

From the jacket flap

In recent years, an enormous amount of work has been done in the field of multivariate analysis, and a growing number of social, behavioral, and biological professionals have come to rely on these techniques for their research needs. Multivariate Analysis: Methods and Applications is an in-depth guide to multivariate methods. Employing a minimum of mathematical theory, it uses real data from a wide range of disciplines to illustrate not only ideas and applications, but also the subtleties of these methods. Special coverage of important topics not found in other general multivariate texts includes: multidimensional scaling, cross-classified categorical data, latent structure analysis, and linear structural relations (LISREL). A technical appendix reviews linear algebra and matrices and contains some distributional results dealing with the multivariate normal, multinomial, and Wishart distributions.

About the author

About the authors William R. Dillon is Professor of Marketing at the University of Massachusetts. Dr. Dillon is the co-author of Discrete Discriminant Analysis and is on the editorial boards of the Journal of Business Research and Journal of Marketing Research. Dr. Dillon earned his PhD in marketing and quantitative methods at the City University of New York. Matthew Goldstein is President of the Research Foundation of the City University of New York and Professor of Statistics at Baruch College, City University of New York. He is a co-author of Discrete Discriminant Analysis and intermediate Statistical Methods. Dr Goldstein has served as president of the New York Area Chapter of the American Statistical Association. He earned his PhD in statistics at the University of Connecticut.
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