Comparison of the performance of the extreme value type 1 (EV1) and the rayleigh distribution

The suitability of the Extreme Value Type I (EV1) and the Rayleigh distributions for flood frequency analysis is discussed. The distributions were applied to the annual maximum flood series generated by first-order autoregressive (AR(1)) process of length 90 for 1000 years. Here two methods of param...

全面介绍

Saved in:
书目详细资料
主要作者: Yaziz, Siti Roslindar
格式: Thesis
出版: 2010
主题:
标签: 添加标签
没有标签, 成为第一个标记此记录!
id my-utm-ep.16726
record_format uketd_dc
spelling my-utm-ep.167262017-08-23T03:56:13Z Comparison of the performance of the extreme value type 1 (EV1) and the rayleigh distribution 2010 Yaziz, Siti Roslindar QA Mathematics The suitability of the Extreme Value Type I (EV1) and the Rayleigh distributions for flood frequency analysis is discussed. The distributions were applied to the annual maximum flood series generated by first-order autoregressive (AR(1)) process of length 90 for 1000 years. Here two methods of parameter estimation namely the maximum likelihood and the probability-weighted moments estimators were used. The probability of exceedance of the 90th and the 99th percentiles were also considered. It was found that the EV1 distribution fits the data well compared to the Rayleigh distribution. The risks estimates calculated using the EV1 distribution agrees with the empirical distribution. 2010 Thesis http://eprints.utm.my/id/eprint/16726/ masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QA Mathematics
spellingShingle QA Mathematics
Yaziz, Siti Roslindar
Comparison of the performance of the extreme value type 1 (EV1) and the rayleigh distribution
description The suitability of the Extreme Value Type I (EV1) and the Rayleigh distributions for flood frequency analysis is discussed. The distributions were applied to the annual maximum flood series generated by first-order autoregressive (AR(1)) process of length 90 for 1000 years. Here two methods of parameter estimation namely the maximum likelihood and the probability-weighted moments estimators were used. The probability of exceedance of the 90th and the 99th percentiles were also considered. It was found that the EV1 distribution fits the data well compared to the Rayleigh distribution. The risks estimates calculated using the EV1 distribution agrees with the empirical distribution.
format Thesis
qualification_level Master's degree
author Yaziz, Siti Roslindar
author_facet Yaziz, Siti Roslindar
author_sort Yaziz, Siti Roslindar
title Comparison of the performance of the extreme value type 1 (EV1) and the rayleigh distribution
title_short Comparison of the performance of the extreme value type 1 (EV1) and the rayleigh distribution
title_full Comparison of the performance of the extreme value type 1 (EV1) and the rayleigh distribution
title_fullStr Comparison of the performance of the extreme value type 1 (EV1) and the rayleigh distribution
title_full_unstemmed Comparison of the performance of the extreme value type 1 (EV1) and the rayleigh distribution
title_sort comparison of the performance of the extreme value type 1 (ev1) and the rayleigh distribution
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2010
_version_ 1747815112876490752