Estimating a regional flood frequency distribution
Author:
- Jery R. StedingerJSJery R. Stedinger
- 1 April 1983
- journal article
- Published by American Geophysical Union (AGU) in Water Resources Research
- Vol. 19 (2) , 503-510
Abstract
When floods at different sites are assumed to arise from the same distribution except for scale (U.S. Geological Survey's Index Flood Method), one can attempt to identify the dimensionless flood‐flow frequency distribution by normalizing small samples by each sample's sample mean. Unfortunately, the resultant curve may be a poor description of the true dimensionless flood distribution. This problem can be overcome by working with the logarithms of the peak flow values and using unbiased moment or probability weighted moment estimators. However, the correlation among concurrent flood flows in a region is shown to place severe limits the accuracy with which a distribution's moments can be estimated with many such correlated records.Keywords
This publication has 16 references indexed in Scilit:
- Design events with specified flood riskWater Resources Research, 1983
- Robust flood frequency modelsWater Resources Research, 1982
- Combining site‐specific and regional information: An empirical Bayes ApproachWater Resources Research, 1982
- Quantile estimation with more or less floodlike distributionsWater Resources Research, 1980
- Probability weighted moments compared with some traditional techniques in estimating Gumbel Parameters and quantilesWater Resources Research, 1979
- Probability weighted moments: Definition and relation to parameters of several distributions expressable in inverse formWater Resources Research, 1979
- Bayesian inference and decision making for extreme hydrologic eventsWater Resources Research, 1975
- A Bayesian framework for the use of regional information in hydrologyWater Resources Research, 1975
- Data Analysis Using Stein's Estimator and its GeneralizationsJournal of the American Statistical Association, 1975
- Algebraic boundedness of sample statisticsWater Resources Research, 1974