The Weibull distribution has been observed as one of the most useful distribution, for
modelling and analysing lifetime data in engineering, biology, and others. Studies have …

Problem statement: The double Pareto distribution appeared most often as model for variety
of fields, including archaeology, biology, economics, environmental science, finance and …

This paper focus on mathematical properties of Lindley distribution via Bayesian approach
are derived under Linex loss functions. To this end, we explain the derivation of posterior …

The Weibull distribution is perhaps the most widely used life time distribution model. Weibull
distribution is widely employed in modeling and analyzing lifetime data. Its application in …

Bayesian methods have been rapidly developed due to the important role of explicable
causality in practical problems. We develope geometric approaches to Bayesian inference …

This study presents a derivation of the parameter and survival function in the exponential
distribution of lifetime data, comparing results obtained from complete data and censored …

Bayesian estimators and highest posterior density credible intervals are obtained for two
popular inequality measures, viz. the Gini index and the Bonferroni index in the case of …

Burr type XII distribution plays an important role in reliability modeling, risk analyzing and
process capability estimation. The choice of the best estimation method is one of the goals in …

Bayesian Methods to Estimate the Parameters of Exponentiated Weibull Distribution Page 1
Journal of Physics: Conference Series PAPER • OPEN ACCESS Bayesian Methods to Estimate …