Bayesian and Semi-Bayesian Estimation of the Parameters of Generalized Inverse Weibull Distribution

This is the authors' abstract. We don't add key points for this paper.

Bayesian and semi-Bayesian estimators of parameters of the generalized inverse Weibull distribution are obtained using Jeffreys’ prior and informative prior under specific assumptions of loss function. Using simulation, the relative efficiency of the proposed estimators is obtained under different set-ups. A real life example is also given.