Chapter 6: Bayesian Inference for Exponential Rayleigh Distribution Using R Software
Synopsis
In this chapter, we have paralleled the Baye’s estimates of the parameter of the ExponentialRayleigh (ER) distribution under extension of Jeffrey’s prior and gamma prior using different loss functions with that of maximum likelihood estimate. From the results, Al-Bayyati’s loss function gives the minimum MSE as compared to the other loss functions and among the priors Gamma prior gives the less MSE than other assumed priors.
Published
March 26, 2019
Copyright (c) 2019 held by the author(s) of the individual chapters
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.