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- W2000265213 startingPage "1264" @default.
- W2000265213 abstract "Estimation of events with given return periods and the sampling variance of these events are of great importance in hydrology. In the case of Pearson type 3 and gamma distributions that efficiently describe the hydrologic extreme values, floods, for example, the usual formulas are based on simplified assumptions such as neglecting the variability of the skewness coefficient. More general relationships are derived and then compared with the simplified ones. Great differences may happen: for instance, for large return periods the confidence interval is underestimated, specially when C 8 ≠ 2C V , whereas for return periods T < 20 the confidence interval given by usual methods is overestimated. These errors in estimating the confidence intervals may come out with economical implications, particularly in works constitution. This result shows the importance of using the most representative formulas." @default.
- W2000265213 created "2016-06-24" @default.
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- W2000265213 date "1973-10-01" @default.
- W2000265213 modified "2023-10-14" @default.
- W2000265213 title "Sample error of T-year events commuted by fitting a Pearson type 3 distribution" @default.
- W2000265213 cites W2023273618 @default.
- W2000265213 doi "https://doi.org/10.1029/wr009i005p01264" @default.
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