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Department of Mathematics, IIT Patna, 810106, India
Abstract:   (95 Views)
‎In this paper‎, ‎the problem of estimating unknown parameters of a generalized half normal distribution is considered under Type II progressive hybrid censoring which is a combination of Type II progressive and hybrid censoring schemes‎. ‎We obtain maximum likelihood estimators of parameters and also construct asymptotic intervals using the observed Fisher information matrix‎. ‎Further Bayes estimates are computed under the squared error loss function by applying different approximation methods‎. ‎We also obtain prediction estimates and prediction intervals of censored observations‎. ‎The performance of different methods is compared using Monte Carlo simulations and a real data set is analyzed for illustrative purposes.
Type of Study: Original Paper | Subject: 62Nxx: Survival analysis and censored data
Received: 2018/01/22 | Accepted: 2018/09/16