Artikel

A comparison study on a new five-parameter generalized Lindley distribution with its sub-models

In recent years, modifications of the classical Lindley distribution have been considered by many authors. In this paper, we introduce a new generalization of the Lindley distribution based on a mixture of exponential and gamma distributions with different mixing proportions and compare its performance with its sub-models. The new distribution accommodates the classical Lindley, Quasi Lindley, Two-parameter Lindley, Shanker, Lindley distribution with location parameter, and Three-parameter Lindley distributions as special cases. Various structural properties of the new distribution are discussed and the size-biased and the length-biased are derived. A simulation study is conducted to examine the mean square error for the parameters by means of the method of maximum likelihood. Finally, simulation studies and some real-world data sets are used to illustrate its flexibility in terms of its location, scale and shape parameters.

Sprache
Englisch

Erschienen in
Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 2 ; Pages: 89-117 ; New York: Exeley

Thema
Lindley distribution
mixture distributions
size-biased distributions
maximumlikelihood estimation

Ereignis
Geistige Schöpfung
(wer)
Tharshan, Ramajeyam
Wijekoon, Pushpakanthie
Ereignis
Veröffentlichung
(wer)
Exeley
(wo)
New York
(wann)
2020

DOI
doi:10.21307/stattrans-2020-015
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Tharshan, Ramajeyam
  • Wijekoon, Pushpakanthie
  • Exeley

Entstanden

  • 2020

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