BAYESIAN APPROACH IN ESTIMATION OF SHAPE PARAMETER OF THE EXPONENTIATED MOMENT EXPONENTIAL DISTRIBUTION

In this paper, Bayes estimators of the unknown shape parameter of the exponentiated moment exponential distribution (EMED)have been derived by using two informative (gamma and chi-square) priors and two non-informative (Jeffrey’s and uniform) priors under different loss functions, namely, Squared Er...

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发表在:	Journal of Statistical Theory and Applications (JSTA)
Main Authors:	Kawsar Fatima, S.P Ahmad*
格式:	文件
语言:	英语
出版:	Springer 2018-06-01
主题:	Exponentiated Moment Exponential distribution Maximum Likelihood Estimator Bayesian estimation Priors Loss functions
在线阅读:	https://www.atlantis-press.com/article/25898355/view