Estimation for Inverse Weibull distribution under Generalized Progressive Hybrid Censoring Scheme
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
The procedure of selecting the values of hyper-parameters for prior distributions in Bayesian estimate has produced many problems and has drawn the attention of many authors, therefore the…
By observing the failure behavior of the recorded survival data, we aim to compare the different processing approaches or the effectiveness of the devices or systems applied in this nonparametric…