McDonald-G Poisson Family of Distributions

Authors

  • Keshav Pokhrel University of Michigan-Dearborn, USA
  • Gokarna Raj Aryal Purdue University Northwest, USA
  • Ram Chandra Kafle Sam Houston State University, USA
  • Bhikhari Tharu Spelman College, USA
  • Netra Khanal University of Tampa, USA

DOI:

https://doi.org/10.6092/issn.1973-2201/10520

Keywords:

McDonald distribution, McDonald-G family, Truncated Poisson distribution, Parameter estimation

Abstract

In this article, we utilize the method proposed by Tahir and Cordeiro (2016) to study a new family of distributions called the McDonald Generalized Poisson (McGP) family. This family is defined by using the genesis of the McDonald distribution and the zero truncated Poisson (ZTP) distribution. We provide some mathematical properties and parameter estimation procedures of the McGP family. Three real-life data are analyzed to illustrate the potential applications of the McGP family. Our examples illustrate that the development of new probability distributions is of great interest to capture the nature of the data under study. However, one can’t guarantee a better fit just because a probability distribution possesses a larger number of parameters than its sub-model.

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Published

2023-04-05

How to Cite

Pokhrel, K., Aryal, G. R., Kafle, R. C., Tharu, B., & Khanal, N. (2023). McDonald-G Poisson Family of Distributions. Statistica, 82(2), 119–144. https://doi.org/10.6092/issn.1973-2201/10520

Issue

Vol. 82 No. 2 (2022)

Section

Articles

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