Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach
TL-moments approach has been used in an analysis to identify the best-fitting distributions to represent the annual series of maximum streamflow data over seven stations in Johor, Malaysia. The TL-moments with different trimming values are used to estimate the parameter of the selected distributions...
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| Format: | Article |
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Springer-Verlag Wien
2017
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| _version_ | 1796862374857146368 |
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| author | Mat Jan, N. A. Shabri, A. |
| author_facet | Mat Jan, N. A. Shabri, A. |
| author_sort | Mat Jan, N. A. |
| collection | ePrints |
| description | TL-moments approach has been used in an analysis to identify the best-fitting distributions to represent the annual series of maximum streamflow data over seven stations in Johor, Malaysia. The TL-moments with different trimming values are used to estimate the parameter of the selected distributions namely: Three-parameter lognormal (LN3) and Pearson Type III (P3) distribution. The main objective of this study is to derive the TL-moments (t1,0), t1 = 1,2,3,4 methods for LN3 and P3 distributions. The performance of TL-moments (t1,0), t1 = 1,2,3,4 was compared with L-moments through Monte Carlo simulation and streamflow data over a station in Johor, Malaysia. The absolute error is used to test the influence of TL-moments methods on estimated probability distribution functions. From the cases in this study, the results show that TL-moments with four trimmed smallest values from the conceptual sample (TL-moments [4, 0]) of LN3 distribution was the most appropriate in most of the stations of the annual maximum streamflow series in Johor, Malaysia. |
| first_indexed | 2024-03-05T20:10:41Z |
| format | Article |
| id | utm.eprints-75624 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:10:41Z |
| publishDate | 2017 |
| publisher | Springer-Verlag Wien |
| record_format | dspace |
| spelling | utm.eprints-756242018-04-27T01:37:19Z http://eprints.utm.my/75624/ Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach Mat Jan, N. A. Shabri, A. QA Mathematics TL-moments approach has been used in an analysis to identify the best-fitting distributions to represent the annual series of maximum streamflow data over seven stations in Johor, Malaysia. The TL-moments with different trimming values are used to estimate the parameter of the selected distributions namely: Three-parameter lognormal (LN3) and Pearson Type III (P3) distribution. The main objective of this study is to derive the TL-moments (t1,0), t1 = 1,2,3,4 methods for LN3 and P3 distributions. The performance of TL-moments (t1,0), t1 = 1,2,3,4 was compared with L-moments through Monte Carlo simulation and streamflow data over a station in Johor, Malaysia. The absolute error is used to test the influence of TL-moments methods on estimated probability distribution functions. From the cases in this study, the results show that TL-moments with four trimmed smallest values from the conceptual sample (TL-moments [4, 0]) of LN3 distribution was the most appropriate in most of the stations of the annual maximum streamflow series in Johor, Malaysia. Springer-Verlag Wien 2017 Article PeerReviewed Mat Jan, N. A. and Shabri, A. (2017) Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach. Theoretical and Applied Climatology, 127 (1-2). pp. 213-227. ISSN 0177-798X https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941344895&doi=10.1007%2fs00704-015-1623-7&partnerID=40&md5=055be56907ebab9f17a175d9ffcb3588 |
| spellingShingle | QA Mathematics Mat Jan, N. A. Shabri, A. Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach |
| title | Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach |
| title_full | Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach |
| title_fullStr | Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach |
| title_full_unstemmed | Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach |
| title_short | Estimating distribution parameters of annual maximum streamflows in Johor, Malaysia using TL-moments approach |
| title_sort | estimating distribution parameters of annual maximum streamflows in johor malaysia using tl moments approach |
| topic | QA Mathematics |
| work_keys_str_mv | AT matjanna estimatingdistributionparametersofannualmaximumstreamflowsinjohormalaysiausingtlmomentsapproach AT shabria estimatingdistributionparametersofannualmaximumstreamflowsinjohormalaysiausingtlmomentsapproach |