Bayesian Estimation for Logarithmic Transformed Exponential Distribution under Different Loss Functions

Authors

Teena Goyal, Department of Mathematics & Statistics, Banasthali Vidyapith, Rajasthan, India
Piyush Kant Rai
Sandeep Kumar Maurya

Author Country (or Countries)

India

Abstract

The aim of the present article is to find the better estimator for the parameter of logarithmic transformed exponential distribution using informative and non-informative prior under squared error, linex and general entropy loss functions. The performances of these proposed estimators have been compared based on their simulated risk.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/090113

Recommended Citation

Goyal, Teena; Kant Rai, Piyush; and Kumar Maurya, Sandeep (2020) "Bayesian Estimation for Logarithmic Transformed Exponential Distribution under Different Loss Functions," Journal of Statistics Applications & Probability: Vol. 9: Iss. 1, Article 13.
DOI: http://dx.doi.org/10.18576/jsap/090113
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol9/iss1/13