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Abstract
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Article Information:
Testing Homogeneity of Mixture of Skew-normal Distributions Via Markov Chain Monte Carlo Simulation
Rahman Farnoosh Morteza Ebrahimi and SetarehDalirian
Corresponding Author: Rahman Farnoosh
Submitted: May 06, 2012
Accepted: July 09, 2012
Published: May 20, 2015 |
Abstract:
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The main purpose of this study is to intoduce an optimal penalty function for testing homogeneity of finite mixture of skew-normal distribution based on Markov Chain Monte Carlo (MCMC) simulation. In the present study the penalty function is considered as a parametric function in term of parameter of mixture models and a Baysian approach is employed to estimating the parameters of model. In order to examine the efficiency of the present study in comparison with the previous approaches, some simulation studies are presented.
Key words: Homogeneity test, markov chain monte carlo simulation, penalty function, skew-normal mixtures, , ,
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Abstract
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Cite this Reference:
Rahman Farnoosh Morteza Ebrahimi and SetarehDalirian, . Testing Homogeneity of Mixture of Skew-normal Distributions Via Markov Chain Monte Carlo Simulation. Research Journal of Applied Sciences, Engineering and Technology, (2): 112-117.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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