Parameter estimation of Weibull-Exponential distribution under Type-I hybrid censored sample

We have studied the problem of estimation of unknown parameters of a Weibull-Exponential distribution (WED) under Type-I hybrid censored data in this paper. The maximum likelihood estimates (MLE's) are derived. Using asymptotic distributions property of MLE's, we constructed asymptotic interval estimates. We derived Bayes estimates based on the squared error loss function using the Lindley method and Metropolis-Hastings (M-H) algorithm. Highest posterior density (HPD) credible intervals are also obtained. In each case, to compare the proposed estimates using simulations and illustrative example is also presented a numerical study is performed. Two data analysis has been performed for illustrative purposes. (C) 2018 Production and hosting by Elsevier B.V. on behalf of King Saud University.