Nonparametric Estimation for Density Quantile Function Via TL-Moments

dc.contributor.author	Abd-Elrazek, E. M.
dc.contributor.author	Qandeel , A.M.
dc.contributor.author	Habib , S.A.
dc.date.accessioned	2018-08-01T05:41:54Z
dc.date.available	2018-08-01T05:41:54Z
dc.date.issued	2015
dc.identifier.issn	2384-4663
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/2064
dc.description.abstract	The estimation of population density quantile is of great interest when a parametric form for the underlying distribution is not available. In addition, the density quantile function could be used as an alternative of density function. This paper provides a practical description of new nonparametric estimator of density quantile function based on TL-moments methods and its asymptotic properties are studied.	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	quantiles
dc.subject	density
dc.subject	quantile density function
dc.subject	TL-moments
dc.subject	kernel density estimators
dc.title	Nonparametric Estimation for Density Quantile Function Via TL-Moments	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.12785/IJBSA/020103
dc.volume	02
dc.issue	01
dc.source.title	International Journal of Business and Statistical Analysis
dc.abbreviatedsourcetitle	IJBSA