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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Bibliographic Details

Main Authors:	S.C. Sian, Darmesah Gabda
Format:	Proceedings
Language:	en en
Published:	Faculty of Science and Natural Resources 2020
Subjects:	QA Mathematics QC Physics
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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