This article is devoted to the Bayesian estimation of the discrete Weibull distribution
parameters. Bayesian procedure is performed with three prior distributions, namely Uniform …

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 …

Bayesian estimation of the continuous Weibull distribution parameters was studied by
Ahmad and Ahmad (2013) under the assumption of knowing the shape parameter. Bayesian …

In this paper, we consider the Bayesian inference on the stress-strength parameter R= P (Y<
X), when X and Y follow independent Weibull distributions. We have considered different …

The paper deals with the Bayes estimation of Extended Weibull-Geometric (EWG)
distribution. In particular, we discuss Bayes estimators and their posterior risks using the …

This paper focuses on the Bayesian technique to estimate the parameters of the Weibull
distribution. At this location, we use both informative and non-informative priors. We …

In this paper, Bayesian estimation using diffuse (vague) priors is carried out for the
parameters of a two parameter Weibull distribution. Expressions for the marginal posterior …

In this paper, we consider the Bayes estimators of the unknown parameters of the
exponentiated Weibull distribution (EWD) under the assumptions of gamma priors on both …

Although the idea of Bayesian inference dates back to the late 18th century, its use by
statisticians has been rare until recently. But due to advancement in the simulation …

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 …