Thanoon, T. Y. and Adnan, R. (2016) Comparison between Bayesian structural equation models with ordered categorical data. In: 23rd Malaysian National Symposium of Mathematical Sciences: Advances in Industrial and Applied Mathematics, SKSM 2015, 24 November 2015 through 26 November 2015, Johor Bahru; Malaysia.
Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
In this paper, ordered categorical variables are used to compare between linear and nonlinear Bayesian structural equation models. Gibbs sampling method is applied for estimation and model comparison. Statistical analyses, which involve estimation of parameters and their standard deviations for testing the selected model, are discussed. The proposed procedure is illustrated by a simulation data obtained from R program. Data results are obtained from WinBUGS program.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Uncontrolled Keywords: | Latent Variables, Nonlinear Structural Equation Models, Ordered Categorical Data |
Subjects: | Q Science > QA Mathematics |
Divisions: | Science |
ID Code: | 73195 |
Deposited By: | Muhammad Atiff Mahussain |
Deposited On: | 23 Nov 2017 05:09 |
Last Modified: | 23 Nov 2017 05:09 |
Repository Staff Only: item control page