Extreme Value Distributions

Extreme Value Distribution is a type of probability distribution that models the limiting behavior of the maximum or minimum of a large collection of random variables, distinguished by its focus on extreme deviations from the median of probability distributions.

1.4K

Publications

91.1K

Citations

2.3K

Authors

1.1K

Institutions

Publications per year

2017–2026

245

Variants

Extreme Value Distribution

Authors

2.3K

  1. LD
    Laurens de Haan

    Erasmus University Rotterdam, Netherlands

    25 publications · 2.6K citations

    21

    h-index

  2. SN
    Saralees Nadarajah

    University of Manchester, United Kingdom

    17 publications · 1.1K citations

    14

    h-index

  3. MI
    M. Ivette Gomes

    University of Lisbon, Portugal

    18 publications · 447 citations

    14

    h-index

  4. LJ
    Lee J. Bain

    Missouri University of Science and Technology, United States

    12 publications · 591 citations

    12

    h-index

  5. JA
    Jonathan A. Tawn

    Lancaster University, United Kingdom

    11 publications · 1.4K citations

    11

    h-index

1–5 of 2.3K

Venues

  1. Technometrics

    58 publications · 5.3K citations

    35

    h-index

  2. Journal of the American Statistical Association

    43 publications · 4.9K citations

    25

    h-index

  3. Biometrika

    32 publications · 2.8K citations

    24

    h-index

  4. The Annals of Statistics

    30 publications · 10.1K citations

    23

    h-index

  5. Water Resources Research

    25 publications · 2.7K citations

    22

    h-index

1–5