| Autor: |
Anghel, Cristian Gabriel, Craciun, Cosmin, Titus, Constantin Albert, Ilinca, Cornel |
| Předmět: |
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| Zdroj: |
Romanian Journal of Civil Engineering / Revista Română de Inginerie Civilă; 2024, Vol. 15 Issue 3, p246-255, 10p |
| Abstrakt: |
This manuscript presents the influence of the variability of the recorded data series on the behavior and generation of quantile values for two of the most used statistical distributions in the frequency analysis of extreme events in hydrology, namely the generalized extreme value (GEV) distribution and the Pearson III distribution. The methods for estimating the analyzed parameters are the method of ordinary moments and the method of linear moments, which represent two of the most used methods for estimating the parameters of statistical distributions. According to the results obtained, the L-moments method represents a more stable and robust method characterized by much smaller biases than the ordinary moments method, for quantile values in the field of rare and very rare events (low and very low annual exceedance probabilities). [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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