Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia
Statistical modeling of extreme rainfall is essential since the results can often facilitate civil engineers and planners to estimate the ability of building structures to survive under the utmost extreme conditions. Data comprising of annual maximum series (AMS) of extreme rainfall in Alor Setar we...
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| Format: | Article |
| Language: | English |
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Penerbit UKM
2012
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| Online Access: | http://irep.iium.edu.my/29233/ http://irep.iium.edu.my/29233/1/Preliminary_Study_on_Bayesian_Extreme_Rainfall_Analysis.pdf |
| _version_ | 1848780085098708992 |
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| author | Eli @ Ali, Siti Annazirin Shaffie, mardhiyyah Wan Zin, Wan Zawawiah |
| author_facet | Eli @ Ali, Siti Annazirin Shaffie, mardhiyyah Wan Zin, Wan Zawawiah |
| author_sort | Eli @ Ali, Siti Annazirin |
| building | IIUM Repository |
| collection | Online Access |
| description | Statistical modeling of extreme rainfall is essential since the results can often facilitate civil engineers and planners to estimate the ability of building structures to survive under the utmost extreme conditions. Data comprising of annual maximum series (AMS) of extreme rainfall in Alor Setar were fitted to Generalized Extreme Value (GEV) distribution using method of maximum likelihood (ML) and Bayesian Markov Chain Monte Carlo (MCMC) simulations. The weakness of ML method in handling small sample is hoped to be tackled by means of Bayesian MCMC simulations in this study. In order to obtain the posterior densities, non-informative and independent priors were employed. Performances of parameter estimations were verified by conducting several goodness-of-fit tests. The results showed that Bayesian MCMC method was slightly better than ML method in estimating GEV parameters. |
| first_indexed | 2025-11-14T15:28:03Z |
| format | Article |
| id | iium-29233 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:28:03Z |
| publishDate | 2012 |
| publisher | Penerbit UKM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-292332013-02-26T07:13:15Z http://irep.iium.edu.my/29233/ Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia Eli @ Ali, Siti Annazirin Shaffie, mardhiyyah Wan Zin, Wan Zawawiah TA Engineering (General). Civil engineering (General) Statistical modeling of extreme rainfall is essential since the results can often facilitate civil engineers and planners to estimate the ability of building structures to survive under the utmost extreme conditions. Data comprising of annual maximum series (AMS) of extreme rainfall in Alor Setar were fitted to Generalized Extreme Value (GEV) distribution using method of maximum likelihood (ML) and Bayesian Markov Chain Monte Carlo (MCMC) simulations. The weakness of ML method in handling small sample is hoped to be tackled by means of Bayesian MCMC simulations in this study. In order to obtain the posterior densities, non-informative and independent priors were employed. Performances of parameter estimations were verified by conducting several goodness-of-fit tests. The results showed that Bayesian MCMC method was slightly better than ML method in estimating GEV parameters. Penerbit UKM 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/29233/1/Preliminary_Study_on_Bayesian_Extreme_Rainfall_Analysis.pdf Eli @ Ali, Siti Annazirin and Shaffie, mardhiyyah and Wan Zin, Wan Zawawiah (2012) Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia. Sains Malaysiana, 41 (11). pp. 1403-1410. ISSN 0126-6039 http://www.ukm.my/jsm/pdf_files/SM-PDF-41-11-2012/09%20Annazirin.pdf |
| spellingShingle | TA Engineering (General). Civil engineering (General) Eli @ Ali, Siti Annazirin Shaffie, mardhiyyah Wan Zin, Wan Zawawiah Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia |
| title | Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia |
| title_full | Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia |
| title_fullStr | Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia |
| title_full_unstemmed | Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia |
| title_short | Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia |
| title_sort | preliminary study on bayesian extreme rainfall analysis: a case study of alor setar, kedah, malaysia |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://irep.iium.edu.my/29233/ http://irep.iium.edu.my/29233/ http://irep.iium.edu.my/29233/1/Preliminary_Study_on_Bayesian_Extreme_Rainfall_Analysis.pdf |