On Estimation of Weibull-Gamma Parameters Based on Hybrid Type-II Censoring Scheme

In this paper point and interval estimations of the parameters of Weibull-Gamma populations based on Type-II hybrid censoring scheme are obtained. The maximum likelihood and Bayes methods are used to obtain point estimations for the distribution parameters. The Bayes estimators cannot be obtained explicitly, hence Lindley’s approximation is used to obtain the Bayes estimators. Furthermore, Markov Chain Monte Carlo technique is used to obtain the Bayes estimators and their corresponding credible intervals. The results of Bayes estimators are computed under the squared error loss function. An explanatory example is given to explicate the precision of the estimators