Model Fitting Software

Model Fitting Software is a type of statistical software that belongs to the class of methodological tools designed for estimating the parameters of a statistical model by optimizing a specified criterion, differentiating it from other statistical software through its primary function of algorithmically calibrating model structures to empirical data.

267

Publications

141.8K

Citations

3.5K

Authors

660

Institutions

Publications per year

2017–2026

79

Authors

3.5K

  1. DM
    Dominique Makowski

    Nanyang Technological University, Singapore

    3 publications · 5.6K citations

    3

    h-index

  2. DA
    Douglas A. Dennis

    Colorado Joint Replacement, United States

    3 publications · 470 citations

    3

    h-index

  3. BM
    Benjamin M. Bolker

    University of Florida, United States

    3 publications · 88.3K citations

    3

    h-index

  4. RD
    Richard D. Komistek

    University of Tennessee at Knoxville, United States

    3 publications · 470 citations

    3

    h-index

  5. DL
    Daniel Lüdecke

    Universität Hamburg, Germany

    3 publications · 5.6K citations

    3

    h-index

1–5 of 3.5K

Venues

  1. Journal of Statistical Software

    JSS · 10 publications · 88.7K citations

    10

    h-index

  2. 8

    h-index

  3. Astronomy and Astrophysics

    5 publications · 14.7K citations

    5

    h-index

  4. The Journal of Open Source Software

    JOSS · 5 publications · 5.6K citations

    5

    h-index

  5. PLoS ONE

    4 publications · 387 citations

    4

    h-index

1–5