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

Authors

395

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    8 publications · 437 citations

    8

    h-index

  2. SN
    Saralees Nadarajah

    University of Manchester, United Kingdom

    8 publications · 1.2K citations

    8

    h-index

  3. LD
    Laurens de Haan

    Erasmus University Rotterdam, Netherlands

    6 publications · 589 citations

    6

    h-index

  4. MI
    M. Ivette Gomes

    University of Lisbon, Portugal

    6 publications · 175 citations

    6

    h-index

  5. TR
    Tomasz Rychlik

    Polish Academy of Sciences, Poland

    4 publications · 75 citations

    4

    h-index

1–5 of 395

Venues

  1. Journal of the American Statistical Association

    18 publications · 1.5K citations

    13

    h-index

  2. Communication in Statistics- Theory and Methods

    11 publications · 204 citations

    11

    h-index

  3. The Annals of Mathematical Statistics

    11 publications · 1.3K citations

    11

    h-index

  4. Statistics & Probability Letters

    10 publications · 205 citations

    10

    h-index

  5. Statistics

    10 publications · 246 citations

    10

    h-index

1–5