期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2013
卷号：12
期号：4
页码：421-429
DOI：10.2991/jsta.2013.12.4.8
语种：English
出版社：Atlantis Press
摘要：In this paper, we study the Bayesian estimation of functions of parameters of some power series distributions. These estimators are better than the classical minimum variance unbiased estimators (MVUE) as given by Patil and Joshi (1970), in the sense that these increase the range of the estimation and also have simpler forms.
关键词：Generalized power series distribution;squared error loss function;weighted squared error loss function;likelihood function;minimum variance unbiased estimation;Bayesian estimation
