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Structural Equation Modeling ; A Bayesian Approach

By: Language: English Series: Wiley Series in Probability and Statistics | Balding, David J. (Ed.) | Bloomfield, Peter (Ed.) | Cressie, Noel A.C. (Ed.) | et alPublication details: Chichester, Hoboken, NJ, San Francisco, CA : John Wiley and Sons 2007Edition: 1. EdDescription: xv, 432 ppISBN:
  • 0-470-02423-2
  • 978-0-470-02423-2
Subject(s): DDC classification:
  • 519 Probabilities and applied mathematics
Contents:
from the Table of Contents: Preface; Introduction; Some Basic Structural Equation Models; Covariance Structure Analysis; Bayesian Estimation of Structural Equation Models; Model Comparison and Model Checking; Structural Equation Models with Continuous and Ordered Categorical Variables; Structural Equation Models with Dichotomous Variables; Nonlinear Structural Equation Models; Two-level Nonlinear Structural Equation Models; Multisample Analysis of Structural Equation Models; Finite Mixtures in Structural Equation Models; Structural Equation Models with Missing Data; Structural Equation Models with Exponential Family of Distributions; Conclusion; References; Index;
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Loanable Institute for Advanced Studies (IHS) Book 19079-A Available IHS102789800

from the Table of Contents: Preface; Introduction; Some Basic Structural Equation Models; Covariance Structure Analysis; Bayesian Estimation of Structural Equation Models; Model Comparison and Model Checking; Structural Equation Models with Continuous and Ordered Categorical Variables; Structural Equation Models with Dichotomous Variables; Nonlinear Structural Equation Models; Two-level Nonlinear Structural Equation Models; Multisample Analysis of Structural Equation Models; Finite Mixtures in Structural Equation Models; Structural Equation Models with Missing Data; Structural Equation Models with Exponential Family of Distributions; Conclusion; References; Index;

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