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CLASSICAL AND BAYESIAN ANALYSIS FOR THE GENERALIZED EXPONENTIAL DISTRIBUTION BASED ON RECORD VALUES AND TIMES

In this study, the maximum likelihood and Bayes estimators for the sha pe parameter of two- parameter generalized exponential distribution are obtained based on the rec ord values with the number of trials following the record values (inter-record times) when the scale parameter is known. By using a Monte Carlo simulation methods: (i) the maximum likelihood and Bayes estimators are compared in terms of the estim ted risk (ii) the estimators are compared with a nd without the inter- record times are taken into consideration. Moreover, a real life data is used t o illustrate the results which were derived
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  • Ahmadi, J. and Doostparast, M. (2006). Bayesian Estimation and Prediction for some Life Distribu