Slashed Moment Exponential Distribution

dc.creatorIriarte, Yuri A.
dc.creatorAstorga, Juan M.
dc.creatorVenegas, Osvaldo
dc.creatorGomez, Hector W.
dc.date2017
dc.date2021-04-30T16:46:58Z
dc.date2021-04-30T16:46:58Z
dc.date.accessioned2021-06-14T22:00:44Z
dc.date.available2021-06-14T22:00:44Z
dc.identifierJOURNAL OF STATISTICAL THEORY AND APPLICATIONS,Vol.16,354-365,2017
dc.identifierhttp://repositoriodigital.uct.cl/handle/10925/3444
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3298634
dc.descriptionIn this article, we introduce a new class of slash distribution, the slashed moment exponential distribution. The proposed distribution can be seen as an extension of the moment exponential distribution proposed in Dara and Ahmad (2012). This extension is more flexible than the moment exponential distribution in terms of kurtosis of distribution. It arises as the ratio of two independent random variables, a moment exponential distribution in the numerator and a power of uniform distribution in the denominator. We study some probability properties, discuss moment and maximum likelihood estimations and derive the reliability function and hazard function. Finally, we present two real data applications indicating that the new distribution can improve the moment exponential and exponentiated moment exponential distributions in fitting real data.
dc.languageen
dc.publisherATLANTIS PRESS
dc.sourceJOURNAL OF STATISTICAL THEORY AND APPLICATIONS
dc.subjectExponentiated moment exponential distribution
dc.subjectkurtosis
dc.subjectmoment exponential distribution
dc.subjectslashed moment exponential distribution
dc.titleSlashed Moment Exponential Distribution
dc.typeArticle


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