The generalization of the classical distributions is an old practice and has been considered
as precious as many other practical problems in statistics. These generalizations started with …

Introduction: Mathematicians and statisticians have made significant academic progress on
the subject of distribution theory in the last two decades, and this area of study is becoming …

One of the most important applications of statistical analysis is in health research and
applications. Cancer studies are mostly required special statistical considerations in order to …

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 …

This paper addresses different methods of estimation of the unknown parameters of a two-
parameter Kumaraswamy distribution from a frequentist point of view. We briefly describe …

The modeling and analysis of lifetimes is an important aspect of statistical work in a wide
variety of scientific and technological fields. For the first time, the called Kumaraswamy …

This study elucidates a three-parameter probabilistic model generalized from Kumaraswamy
family using half logistic distribution as a baseline model named as Kumaraswamy half …

The ordinary-G class of distributions is defined to have the cumulative distribution function
(cdf) as the value of the cdf of the ordinary distribution F whose range is the unit interval at G …

An alternative to the standard mixture model is proposed for modeling data containing cured
elements or a cure fraction. This approach is based on the use of defective distributions to …

The contributed R package Newdistns written by the authors is introduced. This package
computes the probability density function, cumulative distribution function, quantile function …