Extreme Order Statistics
Extreme Order Statistics is a statistical framework within order theory that characterizes the behavior and distribution of the most extreme observations—such as the minimum or maximum—in a sample, distinguishing it from general order statistics by focusing exclusively on the tails of the distribution.
261
Publications
22K
Citations
395
Authors
253
Institutions
Publications per year
2017–2026
33
261
Statistical Inference Using Extreme Order Statistics
James Pickands · The Annals of Statistics · 1975 · 3.6K citations
The Asymptotic Theory of Extreme Order Statistics
John E. Angus, János Galambos · Technometrics · 1990 · 1.8K citations
A generalized normal distribution
Saralees Nadarajah · Journal of Applied Statistics · 2005 · 506 citations
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253

McMaster University
Hamilton, Canada
10 h-index
14 publications
680 citations
University of Lisbon
Lisbon, Portugal
8 h-index
13 publications
434 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
13 publications
557 citations

University of Manchester
Manchester, United Kingdom
6 h-index
12 publications
564 citations

Polish Academy of Sciences
Warsaw, Poland
5 h-index
5 publications
104 citations
Institute of Mathematics
Warsaw, Poland
5 h-index
5 publications
104 citations

Jiangsu Normal University
Xuzhou, China
4 h-index
5 publications
75 citations
Florida State University
Tallahassee, United States
4 h-index
5 publications
331 citations
1–8 of 253
18 publications · 1.5K citations
13
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11 publications · 204 citations
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11 publications · 1.3K citations
11
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10 publications · 205 citations
10
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10 publications · 246 citations
10
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