Statistics of extremes in hydrology

  title={Statistics of extremes in hydrology},
  author={Richard W. Katz and Marc Parlange and Philippe Naveau},
The statistics of extremes have played an important role in engineering practice for water resources design and management. How recent developments in the statistical theory of extreme values can be applied to improve the rigor of hydrologic applications and to make such analyses more physically meaningful is the central theme of this paper. Such methodological developments primarily relate to maximum likelihood estimation in the presence of covariates, in combination with either the block… CONTINUE READING
Highly Influential
This paper has highly influenced 25 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 236 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 163 extracted citations

Preliminary Study on Bayesian Extreme Rainfall Analysis : A Case Study of Alor Setar , Kedah , Malaysia

MARdhiyyAh ShAffiE, WAn zAWiAh WAn zin
View 5 Excerpts
Highly Influenced

237 Citations

Citations per Year
Semantic Scholar estimates that this publication has 237 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 105 references

Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data

ES Martins, Stedinger
Water Resour Res • 2000
View 5 Excerpts
Highly Influenced

An introduction to statistical modeling of extreme

S. Coles
View 10 Excerpts
Highly Influenced

Spatial regression models for extremes. Extremes 1999;1:449–68

E Casson, S. Coles
View 5 Excerpts
Highly Influenced

Modeling river flows with heavy tails

PL Anderson, MM Meerschaert
Water Resour Res • 1998
View 4 Excerpts
Highly Influenced

A stochastic model for flood analysis

P Todorovic, E. Zelenhasic
Water Resour Res • 1970
View 5 Excerpts
Highly Influenced

Techniques for estimating uncertainty in climate change scenarios and impact studies

RW Katz
Climate Res • 2002
View 5 Excerpts
Highly Influenced

Extreme value statistics in meteorology and the environment

RL Smith
Environmental Statistics, • 2001
View 11 Excerpts
Highly Influenced

Trends in Rainfall Extremesrichard

View 8 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…