By David J. Bartholomew,Martin Knott,Irini Moustaki

Latent Variable types and issue Analysis presents a finished and unified method of issue research and latent variable modeling from a statistical viewpoint. This e-book offers a common framework to allow the derivation of the widely used versions, besides up to date numerical examples. Nature and interpretation of a latent variable can be brought besides similar thoughts for investigating dependency.

This book:

  • Provides a unified process exhibiting how such it seems that varied equipment as Latent classification research and issue research are literally individuals of a similar family.
  • Presents new fabric on ordered show up variables, MCMC tools, non-linear types in addition to a brand new bankruptcy on comparable strategies for investigating dependency.
  • Includes new sections on structural equation versions (SEM) and Markov Chain Monte Carlo equipment for parameter estimation, besides new illustrative examples.
  • Looks at fresh advancements on goodness-of-fit try information and on non-linear versions and versions with combined latent variables, either specific and continuous.

No earlier acquaintance with latent variable modelling is pre-supposed yet a large realizing of statistical thought will show you how to see the method in its right point of view. utilized statisticians, psychometricians, scientific statisticians, biostatisticians, economists and social technology researchers will make the most of this book.

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