Open AccessBAYESIAN ESTIMATION OF SHAPE PARAMETER OF POWER LOMAX DISTRIBUTION UNDER DIFFERENT LOSS FUNCTION
Author(s) -
Arun Kumar Rao,
Himanshu Pandey
Publication year - 2021
Publication title -
journal of mathematical sciences and computational mathematics
Language(s) - English
Resource type - Journals
eISSN - 2688-8300
pISSN - 2644-3368
DOI - 10.15864/jmscm.2204
Subject(s) - lomax distribution , prior probability , bayes estimator , mathematics , estimator , mean squared error , statistics , bayes factor , bayesian probability , inverse gamma distribution , bayes' theorem , shape parameter , pareto distribution , asymptotic distribution , normal gamma distribution
In this paper, the power Lomax distribution is considered for Bayesian analysis. The expressions for Bayes estimators of the parameter have been derived under squared error, precautionary, entropy, K-loss, and Al-Bayyati’s loss functions by using quasi and gamma priors.