Contents I. Introduction
Many new distributions have been developed and explored as a result of advances in creating new distributions to simulate naturally occurring phenomena. The older works of [1], [2], and [6] are among them. Additionally, a number of studies [7], [22], and [23] have demonstrated that integrated random variable distributions are more adaptable, perform better, and have a wider range of applications. [9] suggested a new family of univariate distributions derived from the Weibull random variable, dubbed the new Weibull-X family of distributions, and introduced a new family of continuous distributions, known as the beta transmuted-H family, which expands the transmuted family [11]. Furthermore, a novel family of continuous distributions called the Kumaraswamy Marshal-Olkin generalized family of distributions was introduced in [12]. A novel family of distributions called the exponentiated T-X distribution was established in [13], and some of its features and unique circumstances were discussed. [14] created a new family of generalized distributions (called "Kw" distributions) by extending the basic Weibull, Gamma, Gumbel, and Inverse Gaussian distributions among several well-known distributions. Rodrigues and Achcar developed a Markov chain model for ozone air pollution based on the daily maximum readings. They added that there was no indication of a time-homogeneous feature in the behavior of ozone. Instead, we intend to develop a new continuous probability distribution called the Gamma-Exponential distribution by combining two different ones using the T-X approach. This will enable us to generalize a probability distribution that is more adaptable and manageable.
