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Structural equation modeling : a Bayesian approach

Author: Sik-Yum Lee; Wiley InterScience (Online service)
Publisher: Chichester, England ; Hoboken, NJ : Wiley, ©2007.
Series: Wiley series in probability and statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Lee, Sik-Yum.
Structural equation modeling.
Chichester, England ; Hoboken, NJ : Wiley, ©2007
(DLC) 2006029955
(OCoLC)71507087
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sik-Yum Lee; Wiley InterScience (Online service)
ISBN: 9780470024737 0470024739 9780470024249 0470024240
OCLC Number: 180190360
Description: 1 online resource (xv, 432 pages) : illustrations.
Contents: Structural Equation Modeling; Contents; About the Author; Preface; 1 Introduction; 2 Some Basic Structural Equation Models; 3 Covariance Structure Analysis; 4 Bayesian Estimation of Structural Equation Models; 5 Model Comparison and Model Checking; 6 Structural Equation Models with Continuous and Ordered Categorical Variables; 7 Structural Equation Models with Dichotomous Variables; 8 Nonlinear Structural Equation Models; 9 Two-level Nonlinear Structural Equation Models; 10 Multisample Analysis of Structural Equation Models; 11 Finite Mixtures in Structural Equation Models.
Series Title: Wiley series in probability and statistics.
Responsibility: Sik-Yum Lee.
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Abstract:

Winner of the 2008 Ziegel Prize for outstanding new book of the year Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous  Read more...

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"This book is a welcome addition to any library and should be a valuable resource for research and teaching." (Technometrics, August 2008)

 
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