The art of parameter (s) induction to the baseline distribution has received a great deal of
attention in recent years. The induction of one or more additional shape parameter (s) to the …

Motivated by the fact that adding one or more parameters to a distribution function makes it
richer and more flexible to analyzing data, this book is an attempt to collect results, using …

This article deals with the statistical inference and prediction on Burr Type XII parameters
based on Type II censored sample. It is observed that the maximum likelihood estimators …

Irving W. Burr pioneered the introduction of the Burr XII model which is commonly used in
reliability and medical studies. Based on this distribution, we propose a new model called …

In this article, we develop Bayesian estimation procedure for estimating the stress strength
reliability R= P [X> Y] when X (strength) and Y (stress) are the inverse Chen random …

We introduce a four-parameter distribution, called the Zografos-Balakrishnan gamma Burr
XII distribution. Our purpose is to provide a Burr XII generalization that may be useful to still …

The Bayesian analysis of Burr type X distribution has been considered in this research. The
uniform and Jeffreys priors have been assumed for posterior analysis. The estimation has …

The generalized G distributions (GGdistns) package is a new R package that employs the
power of the maximum goodness-of-fit estimation technique in estimating the parameters of …

The exponentiated Burr Type XII (EBXII) distribution has wide applications in reliability and
economic studies. In this article, the estimation of the probability density function and the …

A family of exponentiated distributions is proposed. The problems of estimating the reliability
function are considered. Uniformly minimum variance unbiased estimators and maximum …