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Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data

In this paper ordered categorical variables are used in Bayesian multiple group nonlinear structural equation mode ls 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 ord...

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Main Authors: Thanoon, Thanoon Y., Adnan, Robiah, Saffari, Seyed Ehsan
Format: Conference or Workshop Item
Published: 2015
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/62297/
http://www.iccscm.com/2015/
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spelling my.utm.622972017-05-30T02:21:49Z http://eprints.utm.my/id/eprint/62297/ Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data Thanoon, Thanoon Y. Adnan, Robiah Saffari, Seyed Ehsan QA Mathematics In this paper ordered categorical variables are used in Bayesian multiple group nonlinear structural equation mode ls 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 deviations. and residuals analyses for testing the posited model arc discussed. The proposed procedure is illustrated using real data with the results obtained from the WinBUGS program. 2015 Conference or Workshop Item PeerReviewed Thanoon, Thanoon Y. and Adnan, Robiah and Saffari, Seyed Ehsan (2015) Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data. In: The Fourth International Conference on Computer Science & Computational Mathematics (ICCSCM 2015), 7-8 May, 2015, Langkawi, Malaysia. http://www.iccscm.com/2015/
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, Thanoon Y.
Adnan, Robiah
Saffari, Seyed Ehsan
Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data
description In this paper ordered categorical variables are used in Bayesian multiple group nonlinear structural equation mode ls 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 deviations. and residuals analyses for testing the posited model arc discussed. The proposed procedure is illustrated using real data with the results obtained from the WinBUGS program.
format Conference or Workshop Item
author Thanoon, Thanoon Y.
Adnan, Robiah
Saffari, Seyed Ehsan
author_facet Thanoon, Thanoon Y.
Adnan, Robiah
Saffari, Seyed Ehsan
author_sort Thanoon, Thanoon Y.
title Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data
title_short Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data
title_full Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data
title_fullStr Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data
title_full_unstemmed Bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data
title_sort bayesian analysis of multiple group nonlinear structural equation models with ordered categorical data
publishDate 2015
url http://eprints.utm.my/id/eprint/62297/
http://www.iccscm.com/2015/
_version_ 1643655376262922240
score 13.211869

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