Non-stationary approach to at-site flood frequency modelling I. Maximum likelihood estimation
- 1 July 2001
- journal article
- Published by Elsevier in Journal of Hydrology
- Vol. 248 (1-4) , 123-142
- https://doi.org/10.1016/s0022-1694(01)00397-3
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- A particular comparison of annual maxima and partial duration series methods of flood frequency predictionPublished by Elsevier ,2003
- Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events: 1. At‐site modelingWater Resources Research, 1997
- Investigation of trend in hydrological time series of the Evinos River basinHydrological Sciences Journal, 1997
- The use of the Akaike Information Criterion in the identification of an optimum flood frequency modelHydrological Sciences Journal, 1994
- Regional hydrological effects of climate changeJournal of Hydrology, 1991
- Use of time series analysis to detect climatic changeJournal of Hydrology, 1989
- The choice of extremal models by Akaike's information criterionJournal of Hydrology, 1985
- Estimation in partial duration series with independent and dependent peak valuesJournal of Hydrology, 1985
- Probability weighted moments: Definition and relation to parameters of several distributions expressable in inverse formWater Resources Research, 1979
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974