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Applied Multivariate Data Analysis, Volume. 1: Regression and Experimental Design

Applied Multivariate Data Analysis, Volume. 1: Regression and Experimental Design

Applied Multivariate Data Analysis, Volume. 1: Regression and Experimental
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Applied Multivariate Data Analysis, Volume. 1: Regression and Experimental Design Hardback - 1991

by J. D. Jobson

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New/New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!
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Details

  • Title Applied Multivariate Data Analysis, Volume. 1: Regression and Experimental Design
  • Author J. D. Jobson
  • Binding Hardback
  • Edition 1 St Ed
  • Condition New
  • Pages 622
  • Volumes 1
  • Language ENG
  • Publisher Springer, N Y.
  • Publication date 1991-09-03
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # BIBNNA-205595
  • ISBN 9780387976600 / 0387976604
  • Weight 2.38 lbs (1.08 kg)
  • Dimensions 9.21 x 6.14 x 1.38 in (23.39 x 15.60 x 3.51 cm)
  • Category Mathematics
  • Library of Congress subjects Multivariate analysis
  • Library of Congress Catalogue Number 91221219
  • Dewey Decimal Code 519.535
  • Quantity available 2

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Reader reviews for Applied Multivariate Data Analysis, Volume. 1: Regression and Experimental Design

From the publisher

An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
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