Kortpad om niesentrale, tweeveranderlike verdelings deur samestelling te ontwikkel

Ferreira, Johannes Theodorus

dc.contributor.author	Ferreira, Johannes Theodorus
dc.date.accessioned	2016-04-25T08:50:22Z
dc.date.available	2016-04-25T08:50:22Z
dc.date.issued	2015
dc.description	A selection of conference proceedings: Student Symposium in Science, 06 and 07 November 2014, Science Campus, University of South Africa.	en_ZA
dc.description.abstract	Noncentral distributions form an integral part of statistical inference. For example, the noncentral chisquare distribution is particularly useful as it represents the sampling distribution of the sample variance from a normal distribution with unstable expected value. This study develops bivariate noncentral distributions via the compounding method. Some composite distributions (such as the product, ratio, and proportion) are derived, their properties studied, and applied to rainfall data.	en_ZA
dc.description.department	Statistics	en_ZA
dc.description.librarian	am2016	en_ZA
dc.description.uri	http://www.satnt.ac.za	en_ZA
dc.identifier.citation	Ferreira, J., 2015, ‘’n Kortpad om niesentrale, tweeveranderlike verdelings deur samestelling te ontwikkel’, Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 34(1), Art. #1319, 2 pages. http:// dx.DOI.org/ 10.4102/satnt. v34i1.1319.	en_ZA
dc.identifier.issn	0254-3486 (print)
dc.identifier.issn	2222-4173 (online)
dc.identifier.other	10.4102/satnt.v34i1.1319
dc.identifier.uri	http://hdl.handle.net/2263/52137
dc.language.iso	Afrikaans	en_ZA
dc.publisher	AOSIS Open Journals	en_ZA
dc.rights	© 2015. The Authors. Licensee: AOSIS OpenJournals. This work is licensed under the Creative Commons Attribution License.	en_ZA
dc.subject	Noncentral distributions	en_ZA
dc.subject	Statistical inference	en_ZA
dc.subject	Compounding method	en_ZA
dc.subject	Composite distributions	en_ZA
dc.title	Kortpad om niesentrale, tweeveranderlike verdelings deur samestelling te ontwikkel	en_ZA
dc.title.alternative	A shortcut to develop bivariate noncentral distributions via compounding	en_ZA
dc.type	Article	en_ZA