It is well known that the Weibull distribution is the most popular and the most widely used
distribution in reliability and in analysis of lifetime data. Unfortunately, its hazard function …

There has been a renewed interest in develo** more flexible statistical distributions in
recent decades. A major milestone in the methods for generating statistical distributions is …

In this paper, a new method is proposed for generating families of continuous distributions. A
random variable X,“the transformer”, is used to transform another random variable T,“the …

This article introduces generalized beta-generated (GBG) distributions. Sub-models include
all classical beta-generated, Kumaraswamy-generated and exponentiated distributions …

We introduce a new class of continuous distributions called the generalized transmuted-G
family which extends the transmuted-G class. We provide six special models of the new …

In this paper, we present a new univariate flexible generator of distributions, namely, the odd
Perks-G class. Some special models in this class are introduced. The quantile function …

We introduce a new lifetime distribution by considering a serial system with one component
following a Weibull distribution and another following a modified Weibull distribution. We …

This article presents and investigates a modified version of the Weibull distribution that
incorporates four parameters and can effectively represent a hazard rate function with a …

We propose a new class of continuous distributions with two extra shape parameters named
the generalized odd log-logistic family of distributions. The proposed family contains as …

We propose a new class of distributions called the Lomax generator with two extra positive
parameters to generalize any continuous baseline distribution. Some special models such …