Maximum Likelihood Estimation

Maximum Likelihood Estimation is a statistical inference method that estimates model parameters by maximizing the likelihood function, distinguishing it from other estimation techniques through its foundation on the probability of observing the given data under a specified statistical model.

20.7K

Publications

2M

Citations

24.6K

Authors

4.9K

Institutions

Publications per year

2017–2026

3.1K

Authors

24.6K

  1. GM
    Gauss M. Cordeiro

    Universidade Federal de Pernambuco, Brazil

    127 publications · 7.7K citations

    45

    h-index

  2. NB
    N. Balakrishnan

    McMaster University, Canada

    121 publications · 6K citations

    42

    h-index

  3. PS
    Petre Stoica

    Uppsala University, Sweden

    70 publications · 11.2K citations

    38

    h-index

  4. HM
    Haitham M. Yousof

    Benha University, Egypt

    76 publications · 3.3K citations

    37

    h-index

  5. DK
    Debasis Kundu

    Indian Institute of Technology Kanpur, India

    73 publications · 5.6K citations

    34

    h-index

1–5 of 24.6K

Venues

  1. Journal of the American Statistical Association

    944 publications · 170.4K citations

    158

    h-index

  2. The Annals of Statistics

    696 publications · 99.8K citations

    149

    h-index

  3. Biometrika

    562 publications · 69K citations

    123

    h-index

  4. 109

    h-index

  5. Econometrica

    225 publications · 97.8K citations

    108

    h-index

1–5