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

In this paper we obtain Bayes' estimators under symmetric and asymmetric loss functions for
the unknown parameters of Weibull Rayleigh distribution. When all the three parameters are …

In the present paper, a three-parameter Weibull-Lindley distribution is considered for
Bayesian analysis. The estimation of a shape parameter of Weibull-Lindley distribution is …

In this paper, we have studied Reflected Weibull Distribution by using Bayesian analysis.
Reflected Weibull Distribution has obtained by little transformation in Weibull Distribution …

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 …

This present study purposes to conduct Bayesian inference for scale parameters, denoted
by, from Weibull distribution. The prior distribution chosen in this study is the prior conjugate …

The Bayesian as a statistical approach is a method applied in statistical inference which
helps researchers to incorporate prior information surrounding the population parameter …

In this paper, we estimate a shape parameter of the Weibull-Frechet distribution by
considering the Bayesian approach under two non-informative priors using three different …

The Weibull distribution is one of the most popular distributions in analyzing the lifetime
data. In this study, we consider the Bayes estimators of the scale and shape parameters of …