The Bayesian estimators for the unknown parameters of the bivariate Marshall–Olkin
exponential distribution under noninformative priors have been considered and several …

In this paper, we consider the Bayesian analysis of the Marshall–Olkin bivariate Weibull
distribution. It is a singular distribution whose marginals are Weibull distributions. This is a …

Bayesian Analysis of Generalized Exponential Distribution Page 1 Journal of Modern Applied
Statistical Methods Volume 15 | Issue 2 Article 38 11-1-2016 Bayesian Analysis of Generalized …

In this article, we develop an empirical Bayesian approach for the Bayesian estimation of
parameters in four bivariate exponential (BVE) distributions. We have opted for gamma …

In this paper, the two unknown parametric Weibull distribution is considered for Bayesian
analysis. The properties of Bayes estimators of the parameters are studied under different …

This paper provides Bayesian analysis of absolute continuous Marshall–Olkin bivariate
Pareto distribution. We consider only three parameters for this Marshall–Olkin bivariate …

We considered the Bayesian analysis of a shape parameter of the Weibull-Exponential
distribution in this paper. We assumed a class of non-informative priors in deriving the …

In this paper we consider the Bayesian estimators for the unknown parameters of Gumbel
type-II distribution. The Bayesian estimators cannot be obtained in closed forms …

In this article, Bayesian approach is applied to estimate the parameters of Log-logistic
distribution under reference prior and Jeffreys' prior. The reference prior is derived and it is …

In this paper, Bayes estimators of parameter of Maxwell distribution have been derived by
considering non-informative as well as conjugate priors under different scale invariant loss …