This study provides a three parameter Transmuted Power Function distribution that is the
generalization of the Power Function distribution. Structural properties of the proposed …

In this article we introduce and study a new four-parameter distribution, called odd
generalized exponential power function distribution based on the odd generalized …

In this paper, the exponentiated Kumaraswamy-power function distribution is introduced.
Some structural properties of the proposed distribution including the shapes of the density …

A new three-parameter cubic transmuted power distribution is proposed using the cubic rank
transformation. The density and hazard functions of the new distribution provide great …

Estimation of any probability distribution parameters is vital because imprecise and biased
estimates can be misleading. In this study, we investigate a flexible power function …

Entropy measurement plays an important role in the field of information theory. Furthermore,
the estimation of entropy is an important issue in statistics and machine learning. This study …

This paper introduces a new generalization of Transmuted Power Function distribution
named as Exponentiated Transmuted Power Function distribution with its fundamental …

This work, deals with Kumaraswamy distribution. Kumaraswamy (1976, 1978) showed well
known probability distribution functions such as the normal, beta and log-normal but in …

In this article, we estimate the shape parameter, Lorenz curve and Gini-index for power
function distributions using a Bayesian method. Bayes estimators have been developed …

This paper is considered with Kumaraswamy distribution. Numerical, non-Bayes and Bayes
methods of estimation were used to estimate the unknown shape parameter. The maximum …