Estimation for Inverse Weibull distribution under Generalized Progressive Hybrid Censoring Scheme

Thesis
Publication Abstract: 

In this paper, the statistical inference of the unknown parameters of a two-parameter inverse Weibull (IW) distribution based on the generalized Type-II progressive hybrid censoring scheme (GT-II PHCS) has been considered. The Bayes estimates for the IW parameters and the corresponding survival and hazard functions are obtained based on squared error loss (SEL) function by using the approximation form of Lindley (1980). Finally, a Monte Carlo simulation study is carried out to compare the performance of the maximum likelihood and the Bayesian estimates