Comparison of Parameter Estimation Methods used in Probability Fitting to Hydrological Events
In hydrology engineering, parameter estimation is of importance in the analysis of probability distribution. It is especially useful in predicting extreme hydrological events like flood so that an accurate and precise outcome can be obtained. In this study, distributions chosen to fit the annual...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/94/1/BCEGI%20-%2025.pdf http://eprints.intimal.edu.my/94/ |
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| Summary: | In hydrology engineering, parameter estimation is of importance in the analysis of
probability distribution. It is especially useful in predicting extreme hydrological events
like flood so that an accurate and precise outcome can be obtained. In this study,
distributions chosen to fit the annual maximum discharge of Sungai Kelantan are the lognormal
distribution, the log-Pearson type III distribution and the generalized extreme
value distribution. Based on the best-fit distribution chosen according to Chi-squared test,
a number of statistical methods by MOM, MLM and MLEs are used to estimate
parameters of the distribution. The required expectations and quantile estimates can then
be obtained from the distribution parameters with a return period of 2, 10, 25, 50, 100 and
200 years. |
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