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Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data

In this article, dichotomous variables are used to compare between linear and nonlinear Bayesian structural equation models. Gibbs sampling method is applied for estimation and model comparison. Statistical inferences that involve estimation of parameters and their standard deviations and residuals...

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Main Authors: Thanoon, T. Y., Adnan, R.
Format: Article
Published: Taylor and Francis Inc. 2017
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/80982/
http://dx.doi.org/10.1080/03610918.2015.1122052
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spelling my.utm.809822019-07-24T00:13:44Z http://eprints.utm.my/id/eprint/80982/ Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data Thanoon, T. Y. Adnan, R. QA Mathematics In this article, dichotomous variables are used to compare between linear and nonlinear Bayesian structural equation models. Gibbs sampling method is applied for estimation and model comparison. Statistical inferences that involve estimation of parameters and their standard deviations and residuals analysis for testing the selected model are discussed. Hidden continuous normal distribution (censored normal distribution) is used to solve the problem of dichotomous variables. The proposed procedure is illustrated by a simulation data obtained from R program. Analyses are done by using R2WinBUGS package in R-program. Taylor and Francis Inc. 2017 Article PeerReviewed Thanoon, T. Y. and Adnan, R. (2017) Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data. Communications in Statistics: Simulation and Computation, 46 (6). pp. 4578-4599. ISSN 0361-0918 http://dx.doi.org/10.1080/03610918.2015.1122052 DOI:10.1080/03610918.2015.1122052
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Thanoon, T. Y.
Adnan, R.
Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data
description In this article, dichotomous variables are used to compare between linear and nonlinear Bayesian structural equation models. Gibbs sampling method is applied for estimation and model comparison. Statistical inferences that involve estimation of parameters and their standard deviations and residuals analysis for testing the selected model are discussed. Hidden continuous normal distribution (censored normal distribution) is used to solve the problem of dichotomous variables. The proposed procedure is illustrated by a simulation data obtained from R program. Analyses are done by using R2WinBUGS package in R-program.
format Article
author Thanoon, T. Y.
Adnan, R.
author_facet Thanoon, T. Y.
Adnan, R.
author_sort Thanoon, T. Y.
title Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data
title_short Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data
title_full Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data
title_fullStr Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data
title_full_unstemmed Model comparison of linear and nonlinear Bayesian structural equation models with dichotomous data
title_sort model comparison of linear and nonlinear bayesian structural equation models with dichotomous data
publisher Taylor and Francis Inc.
publishDate 2017
url http://eprints.utm.my/id/eprint/80982/
http://dx.doi.org/10.1080/03610918.2015.1122052
_version_ 1643658574796161024
score 13.18916

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