In this study, a new one‐parameter count distribution is proposed by combining Poisson and
XLindley distributions. Some of its statistical and reliability properties including order …

In this study, a one-parameter discrete probability distribution is proposed and studied. The
understudy distribution is named “Poisson Moment Exponential distribution”. Mathematical …

The paper presents a novel statistical approach for analyzing the daily coronavirus case and
fatality statistics. The survival discretization method was used to generate a two-parameter …

In this article, a new two-parameter discrete power-Ailamujia (DsPA) distribution is derived
using the survival discretization technique. Some key distributional properties and reliability …

The significance of applications in count data modeling to real-life scenarios has been
emphasized in numerous studies. The present paper focuses on a discrete version of the …

In this paper, we introduce a discrete version of the Pseudo Lindley (PsL) distribution,
namely, the discrete Pseudo Lindley (DPsL) distribution, and systematically study its …

So far in the literature, numerous probabilistic models and families of probabilistic models
have been suggested and put into practice. A large portion of these probabilistic models are …

This study proposes a discrete probability model for the modeling of count datasets. Some
important properties are derived, including characteristic and moment-generating functions …

A novel discrete Poisson mixing probability distribution with two parameters has been
developed by combining the Poisson distribution with the transmuted moment exponential …

In real-life data, count data are considered more significant in different fields. In this article, a
new form of the one-parameter discrete linear-exponential distribution is derived based on …