Poisson Maximum Likelihood Estimation

Poisson Maximum Likelihood Estimation is a statistical estimation method that belongs to the class of maximum likelihood techniques, specifically distinguished by its application to count data models where the likelihood function is derived from the Poisson probability distribution assuming conditional mean and variance equality.

394

Publications

27.2K

Citations

843

Authors

507

Institutions

Publications per year

2017–2026

140

Authors

843

  1. HM
    Haitham M. Yousof

    Benha University, Egypt

    7 publications · 232 citations

    7

    h-index

  2. RS
    Rama Shanker

    University of Asmara, Eritrea

    7 publications · 116 citations

    7

    h-index

  3. AC
    Arthur Cohen

    University of Georgia, United States

    6 publications · 162 citations

    6

    h-index

  4. MR
    Mohamed R. Abonazel

    Cairo University, Egypt

    5 publications · 154 citations

    6

    h-index

  5. DK
    Dimitris Karlis

    Athens University of Economics and Business, Greece

    6 publications · 366 citations

    6

    h-index

1–5 of 843

Venues

  1. Journal of the American Statistical Association

    21 publications · 1.9K citations

    16

    h-index

  2. Communication in Statistics- Theory and Methods

    21 publications · 683 citations

    15

    h-index

  3. Biometrics

    10 publications · 779 citations

    10

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 7 publications · 441 citations

    7

    h-index

  5. The Annals of Statistics

    6 publications · 475 citations

    6

    h-index

1–5