Fitting and testing the significance of linear trends in Gumbel-distributed data

Hydrology and Earth System Sciences

Volumn 6, Issue 1, 2002, Pages 17-24

  Clarke, Robin T ^a  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Extreme value probability distribution; Gumbel distribution; Statistical stationarity; Trend testing procedures

Indexed keywords

NUMERICAL METHOD; RETURN PERIOD; TREND ANALYSIS;

EID: 0036127096     PISSN: 10275606     EISSN: None     Source Type: Journal    
DOI: 10.5194/hess-6-17-2002     Document Type: Article

References (18)

1. Predicting the hydrological impacts of land cover transformation in the humid tropics: The need for integrated research
2. Estimating time trends in gumbel-distributed data by means of generalized linear
3. Estimating trends in data from the Weibull and a GEV distribution
4. Climate-related fluctuations in Midwestern floods during 1921-1985
5. Trends in floods and low flows in the United States: Impact of spatial correlation
6. Iteratively reweighted least squares for maximum likelihood estimation, and some robust and resistant alternatives (with discussion)
7. Variability and trends in total precipitation and snowfall over the United States and Canada
8. Regional temporal trends of precipitation quantiles in the US
9. Statistical analysis of hydrologic data
10. Climate variability and flood frequency estimation for the upper Mississippi and lower Missouri rivers
11. Analysis and modeling of hydrologic time series
12. The effects of afforestation and deforestation on water yields
13. Frequency analysis of extreme events
14. Empirical data on contemporary global climate change (temperature and precipitation)