Bayesian Estimation of Weibull Rayleigh Distribution Under Balanced Loss Functions.

摘要

In this paper, we have derived the expressions tor bayesian estimate of unknown parameter of the Weibull Rayleigh distribution. The results of the bayes estimates are utilized to obtained the estimates under different loss functions. MCMC techniques with in-built Gibbs sampling are used to obtain samples from the unknown parameter. 95% confidence intervals have also been derived for precisional purposes. Finally, a real life data has been used for simulation purposes. Monte Carlo Simulation has also been performed to find efficient estimation method and better estimates among the Loss function.