The cosine geometric distribution with count data modeling

Abstract

In this paper, a new two-parameter discrete distribution is introduced. It belongs to the family of the weighted geometric distribution (GD), with the feature of using a particular trigonometric weight. This configuration adds an oscillating property to the former GD which can be helpful in analyzing the data with over-dispersion, as developed in this study. First, we present the basic statistical properties of the new distribution, including the cumulative distribution function, hazard rate function and moment generating function. Estimation of the related model parameters is investigated using the maximum likelihood method. A simulation study is performed to illustrate the convergence of the estimators. Applications to two practical datasets are given to show that the new model performs at least as well as some competitors.

Keywords:

• Weighted geometric distribution
• cumulative distribution function
• data with over-dispersion

2000 MATHEMATICS SUBJECT CLASSIFICATIONS:

• 60E05
• 62E15

Acknowledgments

We would like to thank the two reviewers for their thoughtful efforts toward improving our manuscript.

Disclosure statement

No potential conflict of interest was reported by the authors.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.