Some Bayesian estimators of the reliability inverse Weibull distribution using Doubly Type II Censored data

In this paper, we find a Bayesian estimator for the scale parameter beta and the reliability of the inverse Weibull distribution, assuming that there are two prior distributions for the parameter: the first is non-informative (Quasi) whereas the second is informative represented by the (Gamma) distribution. By using three loss functions (Error-square, De-Groot and precautionary function), the estimation was done under Doubly Type II Censored data which was conducted to generate random variables based on the Monte Carlo simulation study to find out the best estimator for the parameter and reliability based on the mean square error.