LQ-moments: parameter estimation for kappa distribution

Identification of the true statistical distributions for various hydrologic data sets is a major problem facing engineers. The four-parameter kappa distribution is a combination of the established distribution including the Generalised Extreme Value (GEV), Generalised Logistic (GL), Generalised Pare...

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Main Authors:	Ani Shabri, Abdul Aziz Jemain
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2010
Online Access:	http://journalarticle.ukm.my/7415/ http://journalarticle.ukm.my/7415/ http://journalarticle.ukm.my/7415/1/01_Md_Yeaminhossain.pdf

id	ukm-7415
recordtype	eprints
spelling	ukm-74152016-12-14T06:44:00Z http://journalarticle.ukm.my/7415/ LQ-moments: parameter estimation for kappa distribution Ani Shabri, Abdul Aziz Jemain, Identification of the true statistical distributions for various hydrologic data sets is a major problem facing engineers. The four-parameter kappa distribution is a combination of the established distribution including the Generalised Extreme Value (GEV), Generalised Logistic (GL), Generalised Pareto (GP) and the Gumbel distribution were considered in this study. The main objective of this study was to develop the method of LQ-moments for the kappa distribution. The performance of the LQ-moments was compared with L-moments through eight problems using published data sets. The results show that the performance of both methods, the LQ-moments and L-moments worked equally well. Universiti Kebangsaan Malaysia 2010-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7415/1/01_Md_Yeaminhossain.pdf Ani Shabri, and Abdul Aziz Jemain, (2010) LQ-moments: parameter estimation for kappa distribution. Sains Malaysiana, 39 (5). pp. 845-850. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol39num5_2010/contentsVol39num5_2010.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Identification of the true statistical distributions for various hydrologic data sets is a major problem facing engineers. The four-parameter kappa distribution is a combination of the established distribution including the Generalised Extreme Value (GEV), Generalised Logistic (GL), Generalised Pareto (GP) and the Gumbel distribution were considered in this study. The main objective of this study was to develop the method of LQ-moments for the kappa distribution. The performance of the LQ-moments was compared with L-moments through eight problems using published data sets. The results show that the performance of both methods, the LQ-moments and L-moments worked equally well.
format	Article
author	Ani Shabri, Abdul Aziz Jemain,
spellingShingle	Ani Shabri, Abdul Aziz Jemain, LQ-moments: parameter estimation for kappa distribution
author_facet	Ani Shabri, Abdul Aziz Jemain,
author_sort	Ani Shabri,
title	LQ-moments: parameter estimation for kappa distribution
title_short	LQ-moments: parameter estimation for kappa distribution
title_full	LQ-moments: parameter estimation for kappa distribution
title_fullStr	LQ-moments: parameter estimation for kappa distribution
title_full_unstemmed	LQ-moments: parameter estimation for kappa distribution
title_sort	lq-moments: parameter estimation for kappa distribution
publisher	Universiti Kebangsaan Malaysia
publishDate	2010
url	http://journalarticle.ukm.my/7415/ http://journalarticle.ukm.my/7415/ http://journalarticle.ukm.my/7415/1/01_Md_Yeaminhossain.pdf
first_indexed	2023-09-18T19:49:37Z
last_indexed	2023-09-18T19:49:37Z
_version_	1777406132073005056

LQ-moments: parameter estimation for kappa distribution

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