文章基本信息

标题：Selection of Variables in Regression Models Based on Inflated Distributions
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作者：Aruna Rao ; Sumathi K
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2011
卷号：7
期号：2-Sp
DOI：10.1234/pjsor.v7i2-Sp.300
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：Regression models based on zero inflated distributions are oftenly used in exploratory data analysis having excess zeroes. The difficulty faced by many researchers is regarding the selection of covariates to be included in the model. Following the idea of focused information criterion, observed focused information criterion is proposed for model selection. The motivation for this has its roots in the concept of observed fisher information. Using this criterion, a forward selection procedure is proposed for selection of variables in regression models based on inflated distributions. The procedure is illustrated using a dataset on DMFT index using the modified observed focused information criterion.