The Half-Logistic Odd Power Generalized Weibull-G Family of Distributions

Authors

  • Peter O Peter Department of Mathematics & Statistical Sciences, Faculty of Science, Botswana International University of Science & Technology, Palapye, Botswana;
  • Fastel Chipepa Department of Mathematics & Statistical Sciences, sFaculty of Science, Botswana International University of Science & Technology, Palapye, Botswana; https://orcid.org/0000-0001-6854-8740
  • Broderick Oluyede Department of Mathematics & Statistical Sciences, Faculty of Science, Botswana International University of Science & Technology, Palapye, Botswana; https://orcid.org/0000-0002-9945-2255
  • Boikanyo Makubate Department of Mathematics & Statistical Sciences, Faculty of Science, Botswana International University of Science & Technology, Palapye, Botswana; https://orcid.org/0000-0002-1581-3165

DOI:

https://doi.org/10.24425/cejeme.2022.140510

Keywords:

half logistic distribution, half logistic-G distribution, Weibull generalized-G distribution, maximum likelihood estimation

Abstract

We develop and study in detail a new family of distributions called Halflogistic Odd Power Generalized Weibull-G (HLOPGW-G) distribution, which
is a linear combination of the exponentiated-G family of distributions. From
the special cases considered, the model can fit heavy tailed data and has
non-monotonic hazard rate functions. We further assess and demonstrate the
performance of this family of distributions via simulation experiments. Real
data examples are given to demonstrate the applicability of the proposed model
compared to several other existing models.

Downloads

Published

2021-08-30

How to Cite

Peter, P. O., Chipepa, F., Oluyede, B., & Makubate, B. (2021). The Half-Logistic Odd Power Generalized Weibull-G Family of Distributions. Central European Journal of Economic Modelling and Econometrics, 14(1), 1–35. https://doi.org/10.24425/cejeme.2022.140510

Issue

Vol. 14 No. 1 (2022): Central European Journal of Economic Modelling and Econometrics

Section

ARTICLES

License

Copyright (c) 2025 Peter O Peter, Fastel Chipepa, Broderick Oluyede, Boikanyo Makubate

Creative Commons License

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