Linear Moments: An Overview

dc.contributor.author	Kandeel, A.F.
dc.date.accessioned	2018-08-01T05:42:50Z
dc.date.available	2018-08-01T05:42:50Z
dc.date.issued	2015
dc.identifier.issn	2384-4663
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/2069
dc.description.abstract	Many statistical techniques are based on the use of linear combinations of order statistics that called linear moments. L-moments are a sequence of statistics used to summarize the shape of a probability distribution. They are linear combinations of order statistics analogous to conventional moments, and can be used to calculate quantities analogous to standard deviation, skewness and kurtosis, termed the L-scale, L-skewness and L-kurtosis respectively. In this paper an overview for recent works in L-moments is presented.	en_US
dc.language.iso	en	en_US
dc.publisher	University of Bahrain	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.subject	Order statistics
dc.subject	L-moments
dc.subject	TL-moments
dc.subject	LQ-moments
dc.subject	Quantile function
dc.title	Linear Moments: An Overview	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.12785/IJBSA/020203
dc.volume	02
dc.issue	02
dc.source.title	International Journal of Business and Statistical Analysis
dc.abbreviatedsourcetitle	IJBSA