Extreme value theory based on the r largest annual events: a robust approach-Reference-Cited by-同舟云学术

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Extreme value theory based on the r largest annual events: a robust approach

Published:1997-12 Issue:1-4 Volume:200 Page:295-306
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Dupuis D.J.

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference13 articles.

1. Robust estimation of extremes;Dupuis;Can. J. Stat.,1997

2. Limiting forms of the frequency distribution of the largest and the smallest member of a sample;Fisher,1928

3. Contributions to the theory of robust estimation;Hampel,1968

4. The influence curve and its role in robust estimation;Hampel;J. Am. Stat. Assoc.,1974

5. Robust Statistics: The Approach Based on Influence Functions;Hampel,1986

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1. Generalized logistic model for r largest order statistics, with hydrological application;Stochastic Environmental Research and Risk Assessment;2024-01-05

2. Statistical modeling and dependence analysis for tide level via multivariate extreme value distribution method;Ocean Engineering;2023-10

3. Modeling climate extremes using the four-parameter kappa distribution for r-largest order statistics;Weather and Climate Extremes;2023-03

4. An analysis of Earth temperature and related series in air and soil;Advances in Agronomy;2023

5. Análisis de Frecuencias de Crecientes con la distribución GVE para r eventos anuales;Tecnología y ciencias del agua;2021

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