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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2011 Vol.1(2): 151-157 ISSN: 2010-3697
DOI: 10.7763/IJMO.2011.V1.27

A Bayesian Criterion-based Statistic for Model Selection of Structural Equation Models with Ordered Categorical data

Yunxian Li and Aijing Yang

Abstract—In this paper, a Bayesian criterion-based method called the Lv measure, as well as its calibration distribution, is introduced and applied to model selection of structural equation models with ordered categorical data. A simulation study is presented to illustrate the satisfactory performance of the Lv measure in model selection. A quality of life data is analyzed for illustration.

Index Terms—ordered categorical data; Lv measure; Model selection; MCMC algorithm.

Yunxian Li is with the School of Finance, Yunnan University of Finance and Economics, Kunming, Yunnan, China. (phone: 86-15288336639;fax: 86-871-5113384; email: cloudlicu@gmail.com).
Aijun Yang is with the School of Finance, Nanjing Audit University, Nanjing, Jiangsu, China. (e-mail: ajyang81@hotmail.com).

[PDF]

Cite: Yunxian Li and Aijing Yang, "A Bayesian Criterion-based Statistic for Model Selection of Structural Equation Models with Ordered Categorical data," International Journal of Modeling and Optimization vol. 1, no. 2, pp. 151-157, 2011.

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