| _version_ |
1860799532210585600
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2018-01-03 12:16:09
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| eventvenue |
UniSZA
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| format |
Restricted Document
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| id |
6367
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| institution |
UniSZA
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| originalfilename |
1231-01-FH03-FIK-18-12078.pdf
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| person |
PDFium
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6367
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| spelling |
6367 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6367 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 2 Adobe Acrobat Pro DC 20 Paper Capture Plug-in 1.7 PDFium 2018-01-03 12:16:09 1231-01-FH03-FIK-18-12078.pdf UniSZA Private Access Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia Statistical analysis of extreme events is often carried out to obtain the probability distribution of floods data and then predict the occurrence of floods for a significant return period. L-moments approach is known as the most popular approach in frequency analysis. This paper discusses comparison of the L-moments method with LH-moments method. LHmoment, a generalization of L-moment, which is proposed based on the linear combinations of higher-order statistics has been used to characterize the upper part of distributions and larger events in flood data. It is observed from a comparative study that the results of the analysis of observed data and the diagram based on the K3D-II distribution using LHmoments method is more efficient and reasonable than the L-moments method for estimating data of the upper part of the distribution events. International Conference on Informatics, Computing and Applied Mathematics UniSZA
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| spellingShingle |
Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia
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| summary |
Statistical analysis of extreme events is often carried out to obtain the probability distribution of floods data and then predict the occurrence of floods for a significant return period. L-moments approach is known as the most popular approach in frequency analysis. This paper discusses comparison of the L-moments method with LH-moments method. LHmoment, a generalization of L-moment, which is proposed based on the linear combinations of higher-order statistics has been used to characterize the upper part of distributions and larger events in flood data. It is observed from a comparative study that the results of the analysis of observed data and the diagram based on the K3D-II distribution using LHmoments method is more efficient and reasonable than the L-moments method for estimating data of the upper part of the distribution events.
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| title |
Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia
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| title_full |
Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia
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| title_fullStr |
Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia
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| title_full_unstemmed |
Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia
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| title_short |
Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia
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| title_sort |
rainfall frequency analysis using lh-moments approach: a case of kemaman station, malaysia
|