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The cosine geometric distribution with count data modeling

Author

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  • Christophe Chesneau
  • Hassan S. Bakouch
  • Tassaddaq Hussain
  • Bilal A. Para

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.

Suggested Citation

  • Christophe Chesneau & Hassan S. Bakouch & Tassaddaq Hussain & Bilal A. Para, 2021. "The cosine geometric distribution with count data modeling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(1), pages 124-137, January.
    • Handle: RePEc:taf:japsta:v:48:y:2021:i:1:p:124-137
    DOI: 10.1080/02664763.2019.1711364
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    Cited by:

    1. Sunisa Junnumtuam & Sa-Aat Niwitpong & Suparat Niwitpong, 2022. "A Zero-and-One Inflated Cosine Geometric Distribution and Its Application," Mathematics, MDPI, vol. 10(21), pages 1-22, October.

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