Method Of Maximum Likelihood

The Method of Maximum Likelihood is a statistical estimation technique that belongs to the class of parametric inference methods, distinguished by its principle of selecting the parameter values that maximize the likelihood function given the observed data.

1.9K

Publications

130.6K

Citations

5.8K

Authors

1.9K

Institutions

Publications per year

2017–2026

448

Authors

5.8K

  1. HM
    Haitham M. Yousof

    Benha University, Egypt

    29 publications · 1.2K citations

    23

    h-index

  2. GM
    Gauss M. Cordeiro

    Universidade Federal de Pernambuco, Brazil

    15 publications · 501 citations

    14

    h-index

  3. CC
    Christophe Chesneau

    Université de Caen Normandie, France

    16 publications · 589 citations

    14

    h-index

  4. ME
    Mohammed Elgarhy

    Cairo University, Egypt

    14 publications · 472 citations

    13

    h-index

  5. EA
    Emrah Altun

    Bartin University, Türkiye

    13 publications · 482 citations

    13

    h-index

1–5 of 5.8K

Venues

  1. Journal of the American Statistical Association

    34 publications · 2.6K citations

    25

    h-index

  2. 24

    h-index

  3. The Astrophysical Journal

    ApJ · 31 publications · 3.8K citations

    23

    h-index

  4. Technometrics

    33 publications · 2.2K citations

    21

    h-index

  5. Biometrika

    29 publications · 2.4K citations

    21

    h-index

1–5