A new Topp-Leone Kumaraswamy Marshall-Olkin generated family of distributions with applications

Mintodê Nicodème Atchadé, Melchior A.G. N'bouké, Aliou Moussa Djibril, Aned Al Mutairi, Manahil Sid Ahmed Mustafa, Eslam Hussam, Hassan Alsuhabi, Said G. Nassr

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

We aim in this paper to propose a novel class of distributions that was created by merging the Topp-Leone distribution and the Generated families of Kumaraswamy and Marshall-Olkin. Its cumulative distribution function characterizes it and includes rational and polynomial functions. In particular, the following desirable properties of the new family are presented: Shannon entropy, order statistics, the quantile power series, and several associated measures and functions. Then, using a specific family member identified before, we create a parametric statistical model with the basic distribution being the inverse exponential distribution. Finally, a thorough investigation has been made to implement this new distribution with three data sets: the glass fibers data set, the glass Alumina data set and the hailing times data set. In comparison to six prominent competitors, the new model performs favorably on all statistical tests and criteria that were examined.

Original languageEnglish
Article numbere24001
JournalHeliyon
Volume10
Issue number2
DOIs
StatePublished - 30 Jan 2024

Keywords

  • Kumaraswamy-G family
  • Marshall-Olkin-G family
  • Maximum Likelihood Estimation
  • Statistical modeling
  • Topp-Leone distribution

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