Abdul Rauf, Ummul Fahri and Fauzi, Mohd Faris (2021) Copulas analysis of victorian precipitation data: a nonparametric approach. In: The 2nd International Symposium on Engineering and Technology (ISETech 2021), 5 Oktober 2021, Universiti Malaysia Perlis (UniMAP), via virtual conference. (Submitted)
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Abstract
This study used data from rain gauges at six (6) Victoria stations with some of the highest annual mean rainfalls.
Empirical copulas are used to model the bivariate rainfall severity and duration distribution. A nonparametric density
function is used to estimate the Standard Precipitation Index (SPI) prior to fitting copulas. The marginal distributions of each of the rainfall characteristics in the copula function's argument are then fitted using empirical distributions. Based on the values of Mean Absolute Error, the empirical copula can be used to represent the results obtained with standard copulas.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
Divisions: | Centre For Defence Foundation Studies |
Depositing User: | Mr Shahrim Daud |
Date Deposited: | 30 Aug 2022 02:45 |
Last Modified: | 30 Aug 2022 02:45 |
URI: | http://ir.upnm.edu.my/id/eprint/124 |