While the Poisson distribution is a classical statistical model for count data, the distributional
model hinges on the constraining property that its mean equal its variance. This text instead …

In this article, a multivariate count distribution with Conway-Maxwell (COM)-Poisson
marginals is proposed. To do this, we develop a modification of the Sarmanov method for …

To unequivocally distinguish the genuine quantumness from classicality, a widely adopted
approach appeals to the negativity within a join quasi-distribution representation as a …

The bivariate Poisson distribution is a natural choice for modeling bivariate count data. Its
constraining assumption, however, limits model flexibility in some contexts. This work …

Uniformly most powerful unbiased tests for one-sided hypotheses about the dispersion
parameter of the Conway–Maxwell–Poisson distribution are derived by utilizing the …

The convolution of two binomial random variables has appeared in various settings such as
a model in machine maintenance and as a Markov chain model. This article presents a …

As a flexible extension of the common Poisson model, the Conway–Maxwell–Poisson
distribution allows for describing under-and overdispersion in count data via an additional …

In this dissertation, the design and fabrication of deep-ultraviolet photodetectors were
investigated based on gallium oxide and its alloys, through the heterogeneous integration …

In this paper, we propose the bivariate distribution of the Katz distribution [1] constructed by
the trivariate reduction method, method developed in [6] and used in [5] to give an …

This paper reviews bivariate COM-Poisson laws as the type 1, type 2 and type 3 models.
The COM-Poisson distributions of type 1, type 2 and type 3 are shown to be members of the …