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Applied Multivariate Statistical Analysis

Applied Multivariate Statistical Analysis

Applied Multivariate Statistical Analysis
Stock photo: cover may vary

Applied Multivariate Statistical Analysis Hardback - 1998

by Johnson, R.A. and Wichern, D.W

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  • Hardback

Description

Pearson, 1998. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Disc missing. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1500grams, ISBN:013834194X
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Details

  • Title Applied Multivariate Statistical Analysis
  • Author Johnson, R.A. and Wichern, D.W
  • Binding Hardback
  • Edition [ Edition: fourt
  • Pages 816
  • Volumes 1
  • Language ENG
  • Publisher Pearson, we Accept EUs
  • Publication date 1998
  • Illustrated Yes
  • Bookseller's Inventory # 8533283
  • ISBN 9780138341947 / 013834194X
  • Weight 3.1 lbs (1.41 kg)
  • Dimensions 9.61 x 7.79 x 1.49 in (24.41 x 19.79 x 3.78 cm)
  • Category Business / Economics / Finance
  • Library of Congress subjects Multivariate analysis
  • Library of Congress Catalogue Number 97042907
  • Dewey Decimal Code 519.535

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Reader reviews for Applied Multivariate Statistical Analysis

From the publisher

This market leading text provides experimental scientists in a wide variety of disciplines with a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide readers with the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. The Fourth Edition has been revised to take greater advantage of graphical displays of multivariate data and of statistical software programs that facilitate the analysis of complex data. *NEW - Graphical displays of multivariate data moved from Chapter 12 to chapter 1 and many new illustrations and graphics have been added to provide a more visual approach to the subject. *NEW - discussions of important topics including: - Detecting Outliers and Data Cleaning in Chapter 4.- Multivariate Quality Control in Chapter 5. - Monitoring Quality with Principal Components in Chapter 8.- Correspondence Analysis, Biplots, and Procrustes Analysis in Chapter 12. *NEW - Expanded coverage of the following topics: Generalized variance, Assessing normality and transformations to normality, Repeated measures designs, Model checking and other aspects of regre
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