Estimation of the Inverse Weibull Distribution Parameters under Type-I Hybrid Censoring

The hybrid censoring is a mixture of type-I and type-II schemes. This paper presents the statistical inferences inverse Weibull distribution parameters when data are censored. First, we consider maximum likelihood estimates unknown parameters. It observed that can not be obtained in closed form. We further obtain Bayes corresponding highest posterior density credible intervals under assumption independent gamma priors using importance sampling procedure. also compute approximate Lindley's approximation technique. performance have been compared with through Monte Carlo Markov chain techniques. Finally, real set analysed for illustration purpose.