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Latent Variable Models and Factor Analysis (Kendall's Library of Statistics)

Latent Variable Models and Factor Analysis (Kendall's Library of Statistics)

Latent Variable Models and Factor Analysis (Kendall's Library of
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Latent Variable Models and Factor Analysis (Kendall's Library of Statistics) Paperback - 0000 - 2nd Edition

by Bartholomew, D. J

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Brand: Wiley, 0000-00-00. 2. paperback. Used: Good. 6.10x0.60x9.30. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Latent Variable Models and Factor Analysis (Kendall's Library of Statistics)
  • Author Bartholomew, D. J
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition Used: Good
  • Pages 232
  • Volumes 1
  • Language ENG
  • Publisher Brand: Wiley, London
  • Publication date 0000-00-00
  • Illustrated Yes
  • Bookseller's Inventory # SONG034069243X
  • ISBN 9780340692431 / 034069243X
  • Weight 1.13 lbs (0.51 kg)
  • Dimensions 9.3 x 6.1 x 0.6 in (23.62 x 15.49 x 1.52 cm)
  • Size 6.10x0.60x9.30
  • Category Mathematics
  • Library of Congress subjects Factor analysis, Latent variables
  • Library of Congress Catalogue Number 99461933
  • Dewey Decimal Code 519.538
  • Quantity available 1

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Reader reviews for Latent Variable Models and Factor Analysis (Kendall's Library of Statistics)

From the publisher

Latent variables, variables that cannot be observed directly, have numerous applications, particularly in psychometrics and sociology, and this new edition provides a comprehensive and unified treatment. Extensively revised and including much recent work, the book develops a framework for handling latent variables with standard statistical methods. It includes an introductory chapter, followed by a careful development of the General Linear Latent Variable Model (GLLVM). A large class of latent variable models turns out to be special cases of GLLVM, and the book devotes a number of chapters to specific models. The treatment aims to be mathematically complete and emphasizes questions of precision and goodness of fit. The book features numerous examples and concludes with a critique of some of the popular and widely used linear models.

About the author

David Bartholomew is Professor of Statistics at the London School of Economics.
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