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Doubly censored mixture of two Rayleigh distributions: Properties and applications
Journal article   Peer reviewed

Doubly censored mixture of two Rayleigh distributions: Properties and applications

Navid Feroze, Tabassum Naz Sindhu, Muhammad Aslam and Wasif Yaseen
Maejo international journal of science and technology, Vol.9(3), pp.312-327
01/09/2015

Abstract

Multidisciplinary Sciences Science & Technology Science & Technology - Other Topics
The Bayes estimation of the parameters of single and mixture of Rayleigh distributions under double censoring is discussed. The informative and non-informative priors under squared error loss function and k-loss function are assumed for the posterior estimation. The posterior risks, associated with each estimator are used to compare the performance of different estimators using the simulated and real life data sets.

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