Polynomial Regression

Polynomial Regression is a regression analysis technique in which the relationship between an independent variable and a dependent variable is modeled as an nth-degree polynomial function, extending linear regression by incorporating polynomial features to capture nonlinear patterns in the data.

2.1K

Publications

126.4K

Citations

6.4K

Authors

2.2K

Institutions

Publications per year

2017–2026

716

Authors

6.4K

  1. HD
    Holger Dette

    Ruhr University Bochum, Germany

    27 publications · 834 citations

    19

    h-index

  2. WJ
    W. J. Studden

    Purdue University West Lafayette, United States

    15 publications · 694 citations

    14

    h-index

  3. OG
    Orazio Giustolisi

    Polytechnic University of Bari, Italy

    13 publications · 1K citations

    13

    h-index

  4. JF
    Jianqing Fan

    Princeton University, United States

    10 publications · 1.6K citations

    10

    h-index

  5. EA
    Edward Araujo Júnior

    Universidade Federal de São Paulo, Brazil

    10 publications · 203 citations

    10

    h-index

1–5 of 6.4K

Venues

  1. The Annals of Statistics

    38 publications · 2.3K citations

    28

    h-index

  2. Journal of the American Statistical Association

    31 publications · 8.7K citations

    23

    h-index

  3. Journal of Chemical & Engineering Data

    24 publications · 1.3K citations

    19

    h-index

  4. Technometrics

    19 publications · 2.4K citations

    16

    h-index

  5. PubMed

    Repository · 16 publications · 871 citations

    14

    h-index

1–5