Recently, bivariate inverse Weibull distribution was derived; many of its properties have
been discussed. Progressive Type-II censoring for bivariate inverse Weibull distribution has …

This paper aims to find a statistical model for the COVID-19 spread in the United Kingdom
and Canada. We used an efficient and superior model for fitting the COVID 19 mortality rates …

The study's major goal is to design a superior creative distribution by using the
Kumaraswamy-G family of distributions to power Frechet distribution. The Kumaraswamy …

The first part of this paper reviews the properties of bivariate dependence measures as
Spearman's rho and Kendall's tau under the different copula. The second part of this paper …

In this paper, a bivariate power Lomax distribution based on Farlie-Gumbel-Morgenstern
(FGM) copulas and univariate power Lomax distribution is proposed, which is referred to as …

The inverse Weibull (IW) distribution can be applied to a wide range of situations including
applications in ecology, medicine, and reliability. Moreover, IW distribution gives a good fit to …

In survival analyses, infections at the catheter insertion site among kidney patients using
portable dialysis machines pose a significant concern. Understanding the bivariate infection …

In reliability studies, the best fitting of lifetime models leads to accurate estimates and
predictions, especially when these models have nonmonotone hazard functions. For this …

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 …

The purpose of this paper is to introduce the adaptive progressive hybrid censored scheme
of the bivariate model which expands the limited applicability of failure censored schemes …