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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Bibliografiska uppgifter
Huvudupphovsmän: Kawsar Fatima, S.P Ahmad*
Materialtyp: Artigo
Språk:Inglês
Publicerad: Springer 2018-06-01
Serie:Journal of Statistical Theory and Applications (JSTA)
Ämnen:
Exponentiated Moment Exponential distribution
Maximum Likelihood Estimator
Bayesian estimation
Priors
Loss functions
Länkar:https://www.atlantis-press.com/article/25898355/view
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