Heavy tailed distributions have a big role in studying risk data sets. Statisticians in many
cases search and try to find new or relatively new statistical models to fit data sets in different …

The half-logistic (HL) distribution is a widely considered statistical model for studying lifetime
phenomena arising in science, engineering, finance, and biomedical sciences. One of its …

Discrete distributions have their important in modeling count data in several applied fields
such as epidemiology, public health, sociology, medicine, and agriculture. This paper …

The present article introduces a new distribution called the odd log–logistic Lindley-Weibull
(OLLLW) distribution that provides greater flexibility in modeling data in applied areas such …

A new generalized family of models called the Gamma Odd Weibull Generalized-G (GOWG-
G) family of distributions is proposed and studied. Properties of the new family of …

This study introduces a new conditional innovation density called the generalized odd
generalized exponentiated skew-t (GOGEST) distribution for the generalized autoregressive …

The present article introduces a new distribution called the modified Kies-Fréchet (MKF)
distribution that extends the Fréchet distribution and provides two new sub-models called …

In this paper, we propose a flexible family called the exponentiated alpha-power-G (EAP-G)
family. The benefits of the proposed family include its analytical simplicity and its ability to …

In modeling reliability data, the exponential distribution is commonly used due to its
simplicity. For estimating the parameter of the exponential distribution, classical estimators …

This paper is devoted to a new lifetime distribution having three parameters by compound
the exponential model and the transmuted Topp‐Leone‐G. The new proposed model is …