The goal of this paper is to develop an optimal statistical model to analyze COVID‐19 data in
order to model and analyze the COVID‐19 mortality rates in Somalia. Combining the log …

We introduce a new family of continuous distributions called the odd Lomax-G class and
provide four special models. We derive explicit expressions for the ordinary and incomplete …

Actuaries are interested in modeling actuarial data using loss models that can be adopted to
describe risk exposure. This paper introduces a new flexible extension of the log-logistic …

The generalized log‐logistic distribution is especially useful for modelling survival data with
variable hazard rate shapes because it extends the log‐logistic distribution by adding an …

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 …

In this paper, we present a review on the log-logistic distribution and some of its recent
generalizations. We cite more than twenty distributions obtained by different generating …

This article introduces a five-parameter lifetime model called the McDonald Gompertz (McG)
distribution to extend the Gompertz, generalized Gompertz, generalized exponential, beta …

A new two-parameter model is proposed using the Kavya–Manoharan (KM) transformation
family and Burr X (BX) distribution. The new model is called the Kavya–Manoharan–Burr X …

We introduce a new family of continuous distributions called the beta transmuted-H family
which extends the transmuted family pioneered by Shaw and Buckley [34]. Some of its …

This paper proposes the new three‐parameter type I half‐logistic inverse Weibull (TIHLIW)
distribution which generalizes the inverse Weibull model. The density function of the TIHLIW …