Artikel

A New Quasi Sujatha Distribution

The aim of this paper is to introduce a new quasi Sujatha distribution (NQSD), of which the following are particular cases: the Sujatha distribution devised by Shanker (2016 a), the sizebiased Lindley distribution, and the exponential distribution. Its moments and momentsbased measures are derived and discussed. Statistical properties, including the hazard rate and mean residual life functions, stochastic ordering, mean deviations, Bonferroni and Lorenz curves and stress-strength reliability are also analysed. The method of moments and the method of maximum likelihood estimations is discussed for estimating parameters of the proposed distribution. A numerical example is presented to test its goodness of fit, which is then compared with other one-parameter and two-parameter lifetime distributions.

Sprache
Englisch

Erschienen in
Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 3 ; Pages: 53-71 ; New York: Exeley

Thema
Sujatha distribution
quasi Sujatha distribution
moments
reliability properties
stochastic ordering
stress-strength reliability
estimation of parameters
goodness of fit

Ereignis
Geistige Schöpfung
(wer)
Shanker, Rama
Shukla, Kamlesh Kumar
Ereignis
Veröffentlichung
(wer)
Exeley
(wo)
New York
(wann)
2020

DOI
doi:10.21307/stattrans-2020-044
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Shanker, Rama
  • Shukla, Kamlesh Kumar
  • Exeley

Entstanden

  • 2020

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