Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position
In Extreme Value Theory, the important aspect of model extrapolation is to model the extreme behavior. This is because the choice of the extreme value distribution model affects the prediction that is about to be made. Thus, model validation which is called Goodness-of-fit (GoF) test is necessary. I...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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AIP Publishing LLC
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/34542/ http://psasir.upm.edu.my/id/eprint/34542/1/Model%20selection%20and%20validation%20of%20extreme%20distribution%20by%20goodness-of-fit%20test%20based%20on%20conditional%20position.pdf |
| _version_ | 1848847801972162560 |
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| author | Zainal Abidin, Nahdiya Adam, Mohd Bakri |
| author_facet | Zainal Abidin, Nahdiya Adam, Mohd Bakri |
| author_sort | Zainal Abidin, Nahdiya |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In Extreme Value Theory, the important aspect of model extrapolation is to model the extreme behavior. This is because the choice of the extreme value distribution model affects the prediction that is about to be made. Thus, model validation which is called Goodness-of-fit (GoF) test is necessary. In this study, the GoF tests were used to fit the Generalized Extreme Value (GEV) Type-II model against the simulated observed values. The μ, σ and ξ were estimated by Maximum Likelihood. The critical values based on conditional points were developed by Monte-Carlo simulation. The powers of the tests were identified by power study. The data that is distributed according to GEV Type-II distribution was used to test whether the critical values developed are able to confirm the fit between GEV Type-II model and the data. To confirm the fit, the statistics value of the GOF test should be smaller than the critical value. |
| first_indexed | 2025-11-15T09:24:23Z |
| format | Conference or Workshop Item |
| id | upm-34542 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:24:23Z |
| publishDate | 2013 |
| publisher | AIP Publishing LLC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-345422016-09-19T03:19:08Z http://psasir.upm.edu.my/id/eprint/34542/ Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position Zainal Abidin, Nahdiya Adam, Mohd Bakri In Extreme Value Theory, the important aspect of model extrapolation is to model the extreme behavior. This is because the choice of the extreme value distribution model affects the prediction that is about to be made. Thus, model validation which is called Goodness-of-fit (GoF) test is necessary. In this study, the GoF tests were used to fit the Generalized Extreme Value (GEV) Type-II model against the simulated observed values. The μ, σ and ξ were estimated by Maximum Likelihood. The critical values based on conditional points were developed by Monte-Carlo simulation. The powers of the tests were identified by power study. The data that is distributed according to GEV Type-II distribution was used to test whether the critical values developed are able to confirm the fit between GEV Type-II model and the data. To confirm the fit, the statistics value of the GOF test should be smaller than the critical value. AIP Publishing LLC 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/34542/1/Model%20selection%20and%20validation%20of%20extreme%20distribution%20by%20goodness-of-fit%20test%20based%20on%20conditional%20position.pdf Zainal Abidin, Nahdiya and Adam, Mohd Bakri (2013) Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position. In: Statistics and Operational Research International Conference (SORIC 2013), 3–5 Dec. 2013, Sarawak, Malaysia. (pp. 195-207). 10.1063/1.4894346 |
| spellingShingle | Zainal Abidin, Nahdiya Adam, Mohd Bakri Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position |
| title | Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position |
| title_full | Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position |
| title_fullStr | Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position |
| title_full_unstemmed | Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position |
| title_short | Model selection and validation of extreme distribution by goodness-of-fit test based on conditional position |
| title_sort | model selection and validation of extreme distribution by goodness-of-fit test based on conditional position |
| url | http://psasir.upm.edu.my/id/eprint/34542/ http://psasir.upm.edu.my/id/eprint/34542/ http://psasir.upm.edu.my/id/eprint/34542/1/Model%20selection%20and%20validation%20of%20extreme%20distribution%20by%20goodness-of-fit%20test%20based%20on%20conditional%20position.pdf |