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Estimation of Weibull Rayleigh Distribution Under Generalized Type II Hybrid Censoring Scheme

Jaspreet Kour Sudan, Parmil Kumar, Priyanka Anand


This article deals with the estimation of Weibull Rayleigh Distribution using Generalized Type II Hybrid Censoring scheme. Maximum Likelihood and Bayesian estimation are used to estimate unknown parameters of the distribution. Bayes estimates of the distribution parameters have been obtained by using Lindley approximation method and Metropolis Hasting Algorithm with Gamma priors under symmetric and asymmetric Loss Functions. Simulation study has also been performed for numerical purposes and data is generated under the application of Generalized hybrid censoring scheme to know the effect of the above said scheme on Weibull Rayleigh Distribution. A real life dataset under the influence of Generalized Type II Hybrid censoring has been used for illustrative purposes.


Weibull Rayleigh Distribution, Lindley approximation, Generalized Type II Hybrid Censoring Scheme, Bayesian Esitmation, Square Error Loss Function, LINEX Loss Function, General entropy Loss Function.

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