dc.creatorGomez, Hector J.
dc.creatorOlmos, Neveka M.
dc.creatorVarela, Hector
dc.creatorBolfarine, Heleno
dc.date2018
dc.date2021-04-30T16:47:47Z
dc.date2021-04-30T16:47:47Z
dc.date.accessioned2021-06-14T22:07:59Z
dc.date.available2021-06-14T22:07:59Z
dc.identifierAPPLIED MATHEMATICS-A JOURNAL OF CHINESE UNIVERSITIES SERIES B,Vol.33,163-176,2018
dc.identifierhttp://repositoriodigital.uct.cl/handle/10925/3521
dc.identifier10.1007/s11766-018-3354-x
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3301252
dc.descriptionThe main object of this paper is to study an extension of the half normal distribution defined by adding a positive truncation to it. The new model is more flexible than the half-normal distribution and contains the half normal distribution as a special case. Properties of this distribution, such as moments, hazard function and entropy are studied and parameters estimation is dealt with by using moments and maximum likelihood. A real data application indicates good fit performance of the new model when compared to other competitors in literatures.
dc.languageen
dc.publisherSPRINGER
dc.sourceAPPLIED MATHEMATICS-A JOURNAL OF CHINESE UNIVERSITIES SERIES B
dc.titleInference for a truncated positive normal distribution
dc.typeArticle


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