In this paper, we present a new univariate flexible generator of distributions, namely, the odd
Perks-G class. Some special models in this class are introduced. The quantile function …

Data analysis in real life often relies mainly on statistical probability distributions. However,
data arising from different fields such as environmental, financial, biomedical sciences and …

We define a new extended Weibull-H family and obtain some of its mathematical properties.
It is very competitive to the beta-G and Kumaraswamy-G classes, which are highly cited in …

Probability-based methodologies have gained widespread recognition for their pivotal role
in steering decision-making in contexts marked by uncertainty or vagueness. In order to …

This article introduces a two‐parameter flexible extension of the Burr‐Hatke distribution
using the inverse‐power transformation. The failure rate of the new distribution can be an …

Statistical models are useful in explaining and forecasting real-world occurrences. Various
extended distributions have been widely employed for modeling data in a variety of fields …

This study introduces the Inverse Burr-X Burr-XII (IBXBXII) distribution as a novel approach
for handling asymmetric-bimodal claims and revenues. It explores the distribution's statistical …

In this paper, a family of statistical models, namely, a new exponential‐X family is proposed.
A subcase of the introduced family, called the new exponential‐Weibull (NE‐Weibull) model …

In the recent era, the introduction of a new family of distributions has gotten great attention
due to the curbs of the classical univariate distributions. This study introduces a novel family …

In this article, we describe a new Marshall-Olkin family of distributions based on the Marshall-
Olkin family of distributions by employing a different generator. We have derived several …