The Exponentiated Half Logistic-Topp-Leone-G Power Series Class of Distributions: Model, Properties and Applications

Fastel Chipepa, Broderick O. Oluyede, Divine Wanduku, Thatayaone Moakofi

Research output: Contribution to book or proceedingChapterpeer-review

6 Scopus citations

Abstract

We develop a new class of distributions, namely, the exponentiated half logistic-Topp-Leone-G power series (EHL-TL-GPS) class of distributions. We present some special classes in the proposed distribution. Structural properties were also derived including moments, entropy and maximum likelihood estimates. We conducted a simulation study to evaluate the consistency of the maximum likelihood estimates. We also present two real data examples to illustrate the applicability of the new class of distributions. The proposed model performs better than several non-nested models on selected data sets.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages341-374
Number of pages34
DOIs
StatePublished - 2022

Publication series

NameStudies in Systems, Decision and Control
Volume373
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Scopus Subject Areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

Keywords

  • Geometric distribution
  • Half Logistic-G distribution
  • Maximum likelihood estimation
  • Poisson distribution
  • Power series
  • Topp-Leone-G distribution

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