文章基本信息

标题：Estimating the parameters of Azzalini model by Bayesian approach under symmetric and asymmetric loss functions
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作者：Janardan Mahanta ; Soma Chowdhury Biswas ; Manindra Kumar Roy 等
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2018
卷号：16
期号：3
页码：567-592
DOI：10.6339/JDS.201807_16(3).0007
出版社：Tingmao Publish Company
摘要：This paper has been proposed to estimate the parameters of Markov based logistic model by Bayesian approach for analyzing longitudinal binary data. In Bayesian estimation selection of appropriate loss function and prior density are most important ingredient. Symmetric and asymmetric loss functions have been used for estimating parameters of two state Markov model and better performance has been observed by Bayesian estimate under squared error loss function.
关键词：Modified linear exponential (MLINEX) loss function; Markov model; Linear exponential (LINEX) loss function; Squared error loss function (SE).