文章基本信息

标题：Discriminating Among Several Semiparametric Models
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作者：M. M. E. Abd El-Monsef ; M. M. Seyam
期刊名称：International Journal of Statistics and Probability
印刷版ISSN：1927-7032
电子版ISSN：1927-7040
出版年度：2013
卷号：2
期号：3
页码：96
DOI：10.5539/ijsp.v2n3p96
出版社：Canadian Center of Science and Education
摘要：To distinguish between two or more than two models one can use the T-optimality criterion. Another criterion using for discrimination between two or more than two models is KL-criterion, which depend on the Kullback-Leibler distance. KL-criterion can be used to discriminate between two non-normal models and a generalized of the KL-criterion was studied to discriminate more than two non-normal models. In this paper, more than two semiparametric models can be distinguished using generalized KL-criterion. An application was applied to illustrate the proposed technique by using three proportional hazard models via real data.