This article introduces a five-parameter lifetime model called the McDonald Gompertz (McG)
distribution to extend the Gompertz, generalized Gompertz, generalized exponential, beta …

In this work, we study the problem of determining a proportional data structure in the
absence of prior information about the number of clusters. We use finite mixture models to …

In this paper, we propose an alternative distribution to model count data exhibiting
uni/bimodality. It arises as a weighted version of the beta-binomial distribution, which is …

In this paper, we compare the performances of several models for fitting over-dispersed
binary data. The distribution models considered in this study include the binomial (BN), the …

The two-sided power (TSP) distribution is a flexible two-parameter distribution having
uniform, power function and triangular as sub-distributions, and it is a reasonable alternative …

The R package fitODBOD can be used to identify the best-fitting model for Over-dispersed
Binomial Outcome Data (BOD). The Triangular Binomial (TriBin), Beta-Binomial (BetaBin) …

There has been a considerable recent attention in modeling over dispersed binomial data
occurring in toxicology, biology, clinical medicine, epidemiology and other similar fields …

In this article, we consider the construction of various compound Binomials by mixing the
success parameter with generalized Beta distributions within the unit interval. We then …

In this paper, we consider several binomial mixture models for fitting over-dispersed binary
data. The models range from the binomial itself, to the beta-binomial (BB), the …

The paper explores and establishes a unique Bayesian framework for estimating three
shape parameters of the McDonald generalized beta-binomial distribution. The mixture …