Beta slashed generalised half-normal distribution

dc.contributor.authorKanfer, Frans H.J.
dc.contributor.authorMillard, Sollie M.
dc.contributor.emailfrans.kanfer@up.ac.zaen_ZA
dc.date.accessioned2018-02-08T05:22:12Z
dc.date.available2018-02-08T05:22:12Z
dc.date.issued2017
dc.description.abstractIn this paper we propose the beta slashed generalised half-normal distribution, which includes some important distributions such as the half-normal, slashed half-normal and generalised slashed half-normal distributions. Explicit expressions for the cumulative distribution and characteristic functions are derived. The maximum likelihood estimates of the parameters are obtained via the EM algorithm and the value of the proposed model is illustrated with an application on fatigue data.en_ZA
dc.description.departmentStatisticsen_ZA
dc.description.librarianam2018en_ZA
dc.description.sponsorshipThis work was based on research supported by STATOMET, Department of Statistics, University of Pretoria.en_ZA
dc.description.urihttp://www.sastat.org.za/journal/informationen_ZA
dc.description.urihttp://www.journals.co.za/content/journal/sasjen_ZA
dc.identifier.citationKanfer, F. & Millard, S. 2017, 'Beta slashed generalised half-normal distribution', South African Statistical Journal, vol. 51, pp. 329-343.en_ZA
dc.identifier.issn0038-271X
dc.identifier.urihttp://hdl.handle.net/2263/63886
dc.language.isoenen_ZA
dc.publisherSouth African Statistical Associationen_ZA
dc.rightsSouth African Statistical Associationen_ZA
dc.subjectBeta distributionen_ZA
dc.subjectCharacteristic functionen_ZA
dc.subjectHalf-normal distributionen_ZA
dc.subjectSkewnessen_ZA
dc.subjectStochastic representationen_ZA
dc.titleBeta slashed generalised half-normal distributionen_ZA
dc.typeArticleen_ZA

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