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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Kebangsaan Malaysia
2010
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| Online Access: | http://journalarticle.ukm.my/7415/ http://journalarticle.ukm.my/7415/1/01_Md_Yeaminhossain.pdf |
| _version_ | 1848811473325785088 |
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| author | Ani Shabri, Abdul Aziz Jemain, |
| author_facet | Ani Shabri, Abdul Aziz Jemain, |
| author_sort | Ani Shabri, |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T23:46:57Z |
| format | Article |
| id | oai:generic.eprints.org:7415 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:46:57Z |
| publishDate | 2010 |
| publisher | Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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 |
| spellingShingle | Ani Shabri, Abdul Aziz Jemain, LQ-moments: parameter estimation for kappa distribution |
| title | 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_short | LQ-moments: parameter estimation for kappa distribution |
| title_sort | lq-moments: parameter estimation for kappa distribution |
| url | http://journalarticle.ukm.my/7415/ http://journalarticle.ukm.my/7415/ http://journalarticle.ukm.my/7415/1/01_Md_Yeaminhossain.pdf |