Alizadeh et al. introduced a flexible family of distributions, in the so-called Gompertz-G
family. In this article, a discrete analogue of the Gompertz-G family is proposed. We also …

Due to advanced technology, competitive markets, and consumer demand, most products
are highly reliable as these products may work properly for years or even decades. To …

In recent years, the Muth distribution has been used for the construction of accurate
statistical models, with applications in various applied fields. In this paper, we use a …

In this paper, a new generator of continuous distributions called the odd flexible Weibull-H
family is proposed and studied. Some of its statistical properties including quantile …

This paper aims to obtain a new flexible bivariate generalized family of distributions based
on FGM copula, which is called bivariate FGM Weibull-G family. Some of its statistical …

Burr proposed twelve different forms of cumulative distribution functions for modeling data.
Among those twelve distribution functions is the Burr X distribution. In statistical literature, a …

This paper explores the properties of a family of bivariate copulas based on a new approach
using the counter-monotonic shock method. The resulting copula covers the full range of …

Modeling the failure times of processors and memories in computers is crucial for ensuring
the reliability and robustness of data science workflows. By understanding the failure …

In this paper, a new bivariate discrete distribution is defined and studied in-detail, in the so-
called the bivariate exponentiated discrete Weibull distribution. Several of its statistical …

The purpose of this paper is to create a new bivariate model with more efficiency than the
traditional models which discuss the effect of serum creatinine given the duration of …