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 proceedingChapter

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 languageAmerican English
Title of host publicationMethods of Mathematical Modelling and Computation for Complex Systems
DOIs
StatePublished - Aug 27 2021

Keywords

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

DC Disciplines

  • Mathematics

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