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  • 标题:A NOTE ON BAYESIAN ANALYSIS OF DECAPITATED GENERALIZED POISSON DISTRIBUTION UNDER VARIOUS LOSS FUNCTIONS
  • 本地全文:下载
  • 作者:Sanku Dey ; Tanujit Dey
  • 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
  • 页码:157-168
  • DOI:10.1234/pjsor.v7i2.166
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:It is recognized that, for Bayes estimators, the performance depends on the form of the prior distribution and the assumed loss function. This paper resolves the problem of estimation of one parameter decapitated generalized Poisson distribution; using class of improper prior distributions under symmetric and asymmetric loss functions. The statistical performances of the Bayes estimates with respect to different priors and loss functions are compared using mean square error based on simulation study.
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