Beta slashed generalised half-normal distribution

Kanfer, Frans H.J.; Millard, Sollie M.

dc.contributor.author	Kanfer, Frans H.J.
dc.contributor.author	Millard, Sollie M.
dc.date.accessioned	2018-02-08T05:22:12Z
dc.date.available	2018-02-08T05:22:12Z
dc.date.issued	2017
dc.description.abstract	In 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.department	Statistics	en_ZA
dc.description.librarian	am2018	en_ZA
dc.description.sponsorship	This work was based on research supported by STATOMET, Department of Statistics, University of Pretoria.	en_ZA
dc.description.uri	http://www.sastat.org.za/journal/information	en_ZA
dc.description.uri	http://www.journals.co.za/content/journal/sasj	en_ZA
dc.identifier.citation	Kanfer, F. & Millard, S. 2017, 'Beta slashed generalised half-normal distribution', South African Statistical Journal, vol. 51, pp. 329-343.	en_ZA
dc.identifier.issn	0038-271X
dc.identifier.uri	http://hdl.handle.net/2263/63886
dc.language.iso	en	en_ZA
dc.publisher	South African Statistical Association	en_ZA
dc.rights	South African Statistical Association	en_ZA
dc.subject	Beta distribution	en_ZA
dc.subject	Characteristic function	en_ZA
dc.subject	Half-normal distribution	en_ZA
dc.subject	Skewness	en_ZA
dc.subject	Stochastic representation	en_ZA
dc.title	Beta slashed generalised half-normal distribution	en_ZA
dc.type	Article	en_ZA