This article presents a new bivariate extended generalized inverted Kumaraswamy Weibull
(BIEGIKw‐Weibull) distribution with nine parameters. Statistical properties of the new …

In this paper, a bivariate generalized inverted Kumaraswamy distribution is presented.
Different properties of this distribution are discussed. The maximum likelihood estimates for …

There is an increasing interest in expanding the one‐parameter Lindley distribution to two‐
parameter, three‐parameter, and five‐parameter. The univariate one‐parameter Lindley …

Compound distributions gained their importance from the fact that natural factors have
compound effects, as in the medical, social and logical experiments. Dubey (1968) …

In this paper, the likelihood function under progressive Type II censoring is generalized for
Marshal-Olkin bivariate class of distributions and applied it on the bivariate Dagum …

A Joint chance-constrained programming (JCCP) technique is regarded as one of the most
useful applicable techniques of stochastic programming techniques. It is more suitable for …

In 2020, El-Morshedy et al. introduced a bivariate extension of the Burr type X generator
(BBX-G) of distributions, and Muhammed presented a bivariate generalized inverted …

Multivariate distributions, especially bivariate Dagum distribution, are pivotal in various
economic, social, and business fields. However, researchers, especially non-specialized …

The study of semiparametric families is useful because it provides methods of extending
families for adding flexibility in fitting data. The main aim of this paper is to introduce a class …

In the study, some bivariate distributions were developed from mixture model offspring,
using the Independent (Product) distribution approach. These developments are …