Robust Curve Fitting

Robust Curve Fitting is a curve fitting method that belongs to the class of regression techniques and is specifically designed to minimize the influence of outliers and noise in the data through the use of robust statistical estimators.

189

Publications

26.9K

Citations

505

Authors

239

Institutions

Publications per year

2017–2026

31

Authors

505

  1. JL
    Junli Liang

    Northwestern Polytechnical University, China

    3 publications · 91 citations

    3

    h-index

  2. JW
    Joseph W. McKean

    Western Michigan University, United States

    3 publications · 355 citations

    3

    h-index

  3. SL
    Shang‐Hong Lai

    National Tsing Hua University, Taiwan

    3 publications · 210 citations

    3

    h-index

  4. ÓD
    Óscar David de Cózar-Macías

    Universidad de Málaga, Spain

    3 publications · 37 citations

    3

    h-index

  5. EB
    Elidia Beatriz Blázquez Parra

    Universidad de Málaga, Spain

    3 publications · 37 citations

    3

    h-index

1–5 of 505

Venues

  1. Technometrics

    7 publications · 1.1K citations

    7

    h-index

  2. Journal of Computational and Graphical Statistics

    JCGS · 6 publications · 573 citations

    6

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 4 publications · 145 citations

    4

    h-index

  4. Journal of the American Statistical Association

    3 publications · 13.6K citations

    3

    h-index

  5. Journal of Mathematical Imaging and Vision

    3 publications · 62 citations

    3

    h-index

1–5