The study aimed to address the modeling challenges associated with non-normal cancer
patient characteristics by introducing a novel family of distributions. The analysis focused on …

We introduce a new two-parameter model related to the inverted Topp–Leone distribution
called the power inverted Topp–Leone (PITL) distribution. Major properties of the PITL …

Much effort has recently been expended in developing efficient models that can depict the
true picture for COVID-19 mortality data and help scientists choose the best-fit models. As a …

This study discusses the Gompertz distribution's statistical inference using unified hybrid
censored data. Under various loss functions, the maximum likelihood and Bayesian …

This paper introduces the generalized exponential-U family of distributions as a novel
methodological approach to enhance the distributional flexibility of existing classical and …

In this paper, a new four-parameter (ie called the transmuted Topp-Leone power function
(TTLPF) distribution) is proposed based on the transmuted Topp-Leone-G family. We derive …

A bivariate distribution is a probability distribution that describes the joint behavior of two
random variables. It provides information about the simultaneous variation of two variables …

In this article, we intend to introduce and study the odd generalized Nadarajah-Hagaigai log-
logistic (OGNH-LL) model as a new extension of the log-logistic (LL) model. Some statistical …

The objective of this paper is to present the properties and potentials of Gumbel Power
function (GuPF) distribution to rainfall and wind speed datasets using the TX methodology …

One of the extended power function distributions is the modified power function distribution.
It has a malleable probability distribution and may be used to represent bounded data on an …