The Exponentiated Half Logistic-Generalized G Power Series Class of Distributions: Properties and Applications

Authors

  • Simbarashe Chamunorwa Botswana International University of Science and Technology
  • Broderick Oluyede Botswana International University of Science and Technology
  • Fastel Chipepa Botswana International University of Science and Technology
  • Boikanyo Makubate Botswana International University of Science and Technology
  • Chipo Zidana Botswana International University of Science and Technology

DOI:

https://doi.org/10.37119/jpss2022.v20i1.514

Abstract

A new generalized class of distributions called the Exponentiated Half Logistic-Generalized G Power Series (EHL-GGPS) distribution is proposed. We present some special cases in the proposed distribution. Several mathematical properties of the EHL-GGPS distribution were also derived including order statistics, moments and maximum likelihood estimates.
A simulation study for selected parameter values is presented to examine the consistency of the maximum likelihood estimates. Finally, some real data applications of the EHL-GGPS distribution are presented to illustrate the usefulness of the proposed class of distributions.

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Published

2022-10-03

Issue

Vol. 20 No. 1 (2022): Journal of Probability and Statistical Science

Section

Articles

License

Copyright (c) 2022 Simbarashe Chamunorwa, Broderick Oluyede, Fastel Chipepa, Boikanyo Makubate, Chipo Zidana

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.