A fast nonparametric spatio-temporal regression scheme for generalized Pareto distributed heavy precipitation-Reference-Cited by-同舟云学术

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A fast nonparametric spatio-temporal regression scheme for generalized Pareto distributed heavy precipitation

Published:2014-05 Issue:5 Volume:50 Page:4011-4017
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Naveau P.¹,Toreti A.²³,Smith I.¹,Xoplaki E.²⁴

Affiliation:

1. LSCE, IPSL-CNRS, Orme des Merisiers; Gif-sur-Yvette France

2. Department of Climatology; Climate Dynamics and Climate Change; Justus-Liebig University of Giessen; Giessen Germany

3. Now at Institute for Environment and Sustainability; Joint Research Centre; European Commission; Ispra Italy

4. Institute of Geography; University of Bern; Bern Switzerland

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference42 articles.

1. Statistics of Extremes

2. Mapping snow depth return levels: Smooth spatial modeling versus station interpolation;Blanchet;Hydrol. Earth Syst. Sci.,2010

3. Semi-parametric tail inference through probability-weighted moments;Caeiro;J. Stat. Plann. Inference,2011

4. An Introduction to Statistical Modeling of Extreme Values

5. Spatial hierarchical modeling of precipitation extremes from a regional climate model;Cooley;J. Agric. Biol. Environ. Stat.,2010

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2. Modelling Sub-daily Precipitation Extremes with the Blended Generalised Extreme Value Distribution;Journal of Agricultural, Biological and Environmental Statistics;2022-06-04

3. Advancing Near-Real-Time Quality Controls of Meteorological Observations;Bulletin of the American Meteorological Society;2022-04

4. Gram–Charlier-Like Expansions of the Convoluted Hyperbolic-Secant Density;Journal of Statistical Theory and Practice;2020-01-13

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