Parametric Distribution Fitting

Parametric Distribution Fitting is a statistical methodology that belongs to the class of distribution modeling techniques, specifically involving the estimation of parameters for a pre-specified probability distribution family to best match an observed dataset.

91

Publications

5.4K

Citations

209

Authors

123

Institutions

Publications per year

2017–2026

29

Authors

209

  1. CD
    Christophe Dutang

    Institut de Recherche Mathématique Avancée, France

    3 publications · 2.3K citations

    3

    h-index

  2. DE
    David E. Burmaster

    Alceon Corporation (United States), United States

    3 publications · 55 citations

    3

    h-index

  3. ML
    Marie Laure Delignette‐Muller

    Centre National de la Recherche Scientifique, France

    3 publications · 2.3K citations

    3

    h-index

  4. JJ
    Jürgen Jensen

    University of Siegen, Germany

    3 publications · 113 citations

    3

    h-index

  5. SI
    Sani Ibrahim Doguwa

    Ahmadu Bello University, Nigeria

    2 publications · 37 citations

    3

    h-index

1–5 of 209

Venues

  1. 4

    h-index

  2. IEEE Access

    2 publications · 53 citations

    2

    h-index

  3. 2

    h-index

  4. UMYU Scientifica

    1 publications · 19 citations

    2

    h-index

  5. Journal of Statistical Software

    JSS · 2 publications · 2.2K citations

    2

    h-index

1–5