Nonparametric Kernel estimation of annual maximum stream flow quantiles.
A nonparametric kernel methods is proposed and evaluated performance for estimating annual maximum stream flow quantiles. The bandwidth of the estimator is estimated by using an optimal technique and a cross-validation technique. Results obtained from a limited amount of real data from Malaysia show...
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| Format: | Article |
| Language: | English |
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Department of Mathematics, Faculty of Science
2002
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| Online Access: | http://eprints.utm.my/8811/ http://eprints.utm.my/8811/1/AniShabri2002_NonparametricKernelEstimationofAnnual.pdf |
| _version_ | 1848891771741798400 |
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| author | Shabri, Ani |
| author_facet | Shabri, Ani |
| author_sort | Shabri, Ani |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | A nonparametric kernel methods is proposed and evaluated performance for estimating annual maximum stream flow quantiles. The bandwidth of the estimator is estimated by using an optimal technique and a cross-validation technique. Results obtained from a limited amount of real data from Malaysia show that quantiles estimated by nonparametric method using these techniques have small root mean square error and root mean absolute error. Based on correlation coefficient test shown that the nonparametric model approach is accurate, uniform and flexible alternatives to parametric models for flood frequency analysis. |
| first_indexed | 2025-11-15T21:03:16Z |
| format | Article |
| id | utm-8811 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:03:16Z |
| publishDate | 2002 |
| publisher | Department of Mathematics, Faculty of Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-88112010-06-02T01:58:08Z http://eprints.utm.my/8811/ Nonparametric Kernel estimation of annual maximum stream flow quantiles. Shabri, Ani QA Mathematics A nonparametric kernel methods is proposed and evaluated performance for estimating annual maximum stream flow quantiles. The bandwidth of the estimator is estimated by using an optimal technique and a cross-validation technique. Results obtained from a limited amount of real data from Malaysia show that quantiles estimated by nonparametric method using these techniques have small root mean square error and root mean absolute error. Based on correlation coefficient test shown that the nonparametric model approach is accurate, uniform and flexible alternatives to parametric models for flood frequency analysis. Department of Mathematics, Faculty of Science 2002-12 Article PeerReviewed application/pdf en http://eprints.utm.my/8811/1/AniShabri2002_NonparametricKernelEstimationofAnnual.pdf Shabri, Ani (2002) Nonparametric Kernel estimation of annual maximum stream flow quantiles. Matematika, 18 (2). pp. 99-107. ISSN 0127-8274 http://portal.psz.utm.my/psz/index.php?option=com_content&task=view&id=128&Itemid=305&PHPSESSID=81b664e998055f65b4ccff8f61bf7cb2 |
| spellingShingle | QA Mathematics Shabri, Ani Nonparametric Kernel estimation of annual maximum stream flow quantiles. |
| title | Nonparametric Kernel estimation of annual maximum stream flow quantiles. |
| title_full | Nonparametric Kernel estimation of annual maximum stream flow quantiles. |
| title_fullStr | Nonparametric Kernel estimation of annual maximum stream flow quantiles. |
| title_full_unstemmed | Nonparametric Kernel estimation of annual maximum stream flow quantiles. |
| title_short | Nonparametric Kernel estimation of annual maximum stream flow quantiles. |
| title_sort | nonparametric kernel estimation of annual maximum stream flow quantiles. |
| topic | QA Mathematics |
| url | http://eprints.utm.my/8811/ http://eprints.utm.my/8811/ http://eprints.utm.my/8811/1/AniShabri2002_NonparametricKernelEstimationofAnnual.pdf |