n Kortpad om niesentrale, tweeveranderlike verdelings deur samestelling te ontwikkel : referaatopsomming

A shortcut to develop bivariate non-central distributions via compounding. Non-central distributions form an integral part of statistical inference. For example, the non-central chi-square distribution is particularly useful as it represents the sampling distribution of the sample variance from a no...

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Published in: Suid-Afrikaanse tydskrif vir natuurwetenskap en tegnologie Vol. 34; no. 1; pp. 1 - 2
Main Author: Ferreira, Johan
Format: Journal Article
Language: Afrikaans
Published: AOSIS 01-01-2015
Online Access: Get full text
Summary: A shortcut to develop bivariate non-central distributions via compounding. Non-central distributions form an integral part of statistical inference. For example, the non-central chi-square 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 non-central 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.
ISSN: 0254-3486
2222-4173
DOI: 10.4102/satnt.v34i1.1319