Logarithmic Curve Fitting

Logarithmic Curve Fitting is a curve fitting method that models the relationship between variables by fitting a logarithmic function to observed data points, distinguishing itself from other fitting techniques through its use of the logarithmic form \( y = a + b \ln(x) \) to capture nonlinear patterns characterized by diminishing returns.

123

Publications

5.1K

Citations

390

Authors

211

Institutions

Publications per year

2017–2026

33

Variants

Logarithmic Regression

Authors

390

  1. DE
    David E. Booth

    Kent State University, United States

    2 publications · 61 citations

    2

    h-index

  2. VM
    Valerie M. Haynes

    University of Strathclyde, United Kingdom

    2 publications · 70 citations

    2

    h-index

  3. SR
    Sanjay R. Singh

    University of California, Davis, United States

    2 publications · 60 citations

    2

    h-index

  4. KN
    Kenneth N. Berk

    Illinois State University, United States

    2 publications · 61 citations

    2

    h-index

  5. GB
    Gauti B. Eggertsson

    Federal Reserve Bank of New York, United States

    2 publications · 60 citations

    2

    h-index

1–5 of 390

Venues

  1. Analytical Chemistry

    4 publications · 197 citations

    4

    h-index

  2. Technometrics

    2 publications · 61 citations

    2

    h-index

  3. The Journal of Mathematical Behavior

    JMB · 2 publications · 30 citations

    2

    h-index

  4. Biometrics

    2 publications · 24 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 50 citations

    2

    h-index

1–5