Bayesian Approach to Structural Equation Models

This book represents a general idea on using Bayesian analysis in structural equation models for two different types of data "ordered categorical and dichotomous". This book focuses on Convergence of the Gibbs Sampling Algorithm using "BGR DIAGNOSTIC". The ordered categorical and dichotomous data are handled using censoring and truncation methods. The choice between the models depends on the parameter estimation results and the goodness-of-fit statistics, Deviance Information Criterion (DIC).

Autorentext

Dr. Thanoon Y. Thanoon is Assist. Prof. of Statistics. He finished his PhD from University Technology Malaysia. He is working as a Head of Department of Business Administration Techniques- Technical College of Management, Northern Technical University. His area of research includes Bayesian SEMs. He has written 22 articles in scientific journals.