Analysis of Generalized Nonlinear Structural Equation Models by Using Bayesian Approach with Application | Y. Thanoon | Pakistan Journal of Statistics and Operation Research

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Title

Analysis of Generalized Nonlinear Structural Equation Models by Using Bayesian Approach with Application

Keywords

Structural Equation Models, Bayesian Analysis, Censored Normal Distribution, Gibbs Sampling, Ordered Categorical Variables

Description

In this paper, Bayesian analysis is used in nonlinear structural equation models with two population of data and the Gibbs sampling method is applied for estimation and model comparison. Hidden continuous normal distribution (censored normal distribution) is used to solve the problem of ordered categorical data in Bayesian multiple group SEMs and compared with the method that treats ordered categorical variables as a continuous normal distribution. Statistical inferences, which involve the estimation of parameters and their standard errors, and residuals analyses for testing the posited model are discussed. The proposed procedure is illustrated using real data with the results obtained from the WinBUGS program.

Date

2017-03-01

Identifier

http://pjsor.com/index.php/pjsor/article/view/1303

Source

Pakistan Journal of Statistics and Operation Research; Vol. 13 No. 1, 2017

Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810