An extension of the half-normal distribution

dc.creatorOlmos, Neveka M.
dc.creatorVarela, Hector
dc.creatorGomez, Hector W.
dc.creatorBolfarine, Heleno
dc.date.accessioned2013-10-29T12:51:42Z
dc.date.accessioned2018-07-04T16:02:16Z
dc.date.available2013-10-29T12:51:42Z
dc.date.available2018-07-04T16:02:16Z
dc.date.created2013-10-29T12:51:42Z
dc.date.issued2012
dc.identifierSTATISTICAL PAPERS, NEW YORK, v. 53, n. 4, supl. 1, Part 3, pp. 875-886, NOV, 2012
dc.identifier0932-5026
dc.identifierhttp://www.producao.usp.br/handle/BDPI/36275
dc.identifier10.1007/s00362-011-0391-4
dc.identifierhttp://dx.doi.org/10.1007/s00362-011-0391-4
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1630766
dc.description.abstractIn this paper we introduce a new distribution, namely, the slashed half-normal distribution and it can be seen as an extension of the half-normal distribution. It is shown that the resulting distribution has more kurtosis than the ordinary half-normal distribution. Moments and some properties are derived for the new distribution. Moment estimators and maximum likelihood estimators can computed using numerical procedures. Results of two real data application are reported where model fitting is implemented by using maximum likelihood estimation. The applications illustrate the better performance of the new distribution.
dc.languageeng
dc.publisherSPRINGER
dc.publisherNEW YORK
dc.relationSTATISTICAL PAPERS
dc.rightsCopyright SPRINGER
dc.rightsclosedAccess
dc.subjectHALF-NORMAL DISTRIBUTION
dc.subjectSLASH DISTRIBUTION
dc.subjectSLASHED HALF-NORMAL DISTRIBUTION
dc.subjectKURTOSIS
dc.titleAn extension of the half-normal distribution
dc.typeArtículos de revistas


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