Moments and estimation of reduced Kies distribution based on progressive type-II right censored order statistics

Abstract

Based on progressive type-II censored samples, we first derive the  recurrence relations for the single and product moments and then use these results to compute the means and  variances  of reduced Kies  distribution (RKD), a new  distribution, recently introduced by [21]. Next, we obtain the maximum likelihood estimators of the unknown parameter and the approximate confidence interval of the RKD. Finally, we consider Bayes estimation under the symmetric and asymmetric loss functions using gamma prior for the shape  parameter. We have also derived two-sided Bayes probability interval (TBPI) and the highest posterior density (HPD) credible intervals of this distribution. Monte Carlo simulations are performed to compare the performances of the proposed methods, and a data set has been analyzed for illustrative purposes.

Keywords

• Progressive type-II right censored order statistics,Single moments,Product moments,Recurrence relations,Reduced Kies distribution

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