Abstract
There are several papers which discuss the Bayesian analysis of the mixture models
under type I singly censored samples. This paper considers a new methodology for Bayesian
analysis of mixture models under doubly censored samples. We have discussed the Bayesian
estimation of parameters of the two-component mixture of Rayleigh distribution under square
root gamma, Maxwell and half normal priors using two loss functions. Further, we analyzed
some simulated and real data sets in order to investigate the performance of the estimators for
the parameters of the proposed mixture model.
Tabassum Naz Sindhu, Navid Feroze, Muhammad Aslam, Anum Shafiq. (2016) Bayesian Inference of Mixture of two Rayleigh Distributions: A New Look, Punjab University Journal of Mathematics, Volume 48, Issue 2.
-
Views
524 -
Downloads
60
Article Details
Volume
Issue
Type
Language
