Parameter estimation of generalised extreme distribution for rainfall data in Sabah
The purpose of this study is to compare the Generalized Extreme Value (GEV) parameter estimation by using several methods; the Probability weighted moment (PWM), the Maximum likelihood estimation (MLE) and the Penalized maximum likelihood estimation (PMLE). The analysis will be illustrated using an...
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| Main Authors: | , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
Faculty of Science and Natural Resources
2020
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/21444/1/Parameter%20estimation%20of%20generalised%20extreme%20distribution%20for%20rainfall%20data%20in%20Sabah.pdf https://eprints.ums.edu.my/id/eprint/21444/2/Parameter%20estimation%20of%20generalised%20extreme%20distribution%20for%20rainfall%20data%20in%20Sabah1.pdf https://eprints.ums.edu.my/id/eprint/21444/ https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf |
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https://eprints.ums.edu.my/id/eprint/21444/1/Parameter%20estimation%20of%20generalised%20extreme%20distribution%20for%20rainfall%20data%20in%20Sabah.pdfhttps://eprints.ums.edu.my/id/eprint/21444/2/Parameter%20estimation%20of%20generalised%20extreme%20distribution%20for%20rainfall%20data%20in%20Sabah1.pdf
https://eprints.ums.edu.my/id/eprint/21444/
https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf