Least-squares Parameter Fitting

Least-Squares Parameter Fitting is a mathematical optimization method that belongs to the class of parameter estimation techniques and is distinguished by its minimization of the sum of squared differences between observed data and model predictions to determine the best-fitting parameters of an intravenous dosing model.

358

Publications

59.5K

Citations

881

Authors

369

Institutions

Publications per year

2017–2026

29

Authors

881

  1. SK
    Sushil K. Misra

    Concordia University, Canada

    6 publications · 145 citations

    6

    h-index

  2. IK
    István Kollár

    Budapest University of Technology and Economics, Hungary

    5 publications · 262 citations

    5

    h-index

  3. JT
    Joel Tellinghuisen

    Vanderbilt University, United States

    5 publications · 91 citations

    5

    h-index

  4. XS
    Xiaotian Sun

    University of California, Berkeley, United States

    3 publications · 226 citations

    3

    h-index

  5. RH
    Roberto Horowitz

    University of California, Berkeley, United States

    3 publications · 226 citations

    3

    h-index

1–5 of 881

Venues

  1. The Journal of Chemical Physics

    13 publications · 580 citations

    11

    h-index

  2. 7

    h-index

  3. Review of Scientific Instruments

    6 publications · 634 citations

    6

    h-index

  4. The Journal of Physical Chemistry B

    6 publications · 265 citations

    6

    h-index

  5. Journal of Physics C Solid State Physics

    5 publications · 111 citations

    5

    h-index

1–5