Generalizations and Applications of L-moments

dc.contributor.author	Elsayed, K.M.
dc.date.accessioned	2018-08-01T05:44:39Z
dc.date.available	2018-08-01T05:44:39Z
dc.date.issued	2016-01
dc.identifier.issn	2384-4663
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/2087
dc.description.abstract	This is a review for the book “Generalizations and applications of L-moments”. The L-moments are linear functions of order statistics. In this book a generalization of L-moment is presented by giving zero weights to extreme observations, this method called trimmed L-moments (TL-moments). TL-moments have certain advantages over L-moments and method of moments. They exist whether or not the mean exists (for example the Cauchy distribution) and they are more robust to the presence of outliers.	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	L-moment
dc.subject	order statistic
dc.subject	TL-moment
dc.title	Generalizations and Applications of L-moments	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.12785/IJBSA/030104
dc.volume	03
dc.issue	01
dc.pagestart	37
dc.pageend	42
dc.source.title	International Journal of Business and Statistical Analysis
dc.abbreviatedsourcetitle	IJBSA