Abstract
The log-Gumbel distribution is one of the extreme value distributions which has been widely used in flood frequency analysis. This distribution has been examined in this paper regarding quantile estimation and confidence intervals of quantiles. Specific estimation algorithms based on the methods of moments (MOM), probability weighted moments (PWM) and maximum likelihood (ML) are presented. The applicability of the estimation procedures and comparison among the methods have been illustrated based on an application example considering the flood data of the St. Mary's River.
| Original language | English |
|---|---|
| Pages (from-to) | 187-207 |
| Number of pages | 21 |
| Journal | Stochastic Hydrology and Hydraulics |
| Volume | 10 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1996 |
All Science Journal Classification (ASJC) codes
- Environmental Engineering
- Environmental Chemistry
- Modelling and Simulation
- Water Science and Technology
- Safety, Risk, Reliability and Quality
- Ocean Engineering
- Environmental Science(all)
- Mechanical Engineering