Statistical Regression Estimation

Statistical Regression Estimation is a mathematical modeling approach that belongs to the class of statistical inference methods, distinguished by its use of regression analysis to estimate the relationship between independent variables derived from remote sensing data and observed Leaf Area Index values through empirical calibration.

709

Publications

66.4K

Citations

1.7K

Authors

795

Institutions

Publications per year

2017–2026

156

Authors

1.7K

  1. WA
    Wayne A. Fuller

    Iowa State University, United States

    8 publications · 281 citations

    8

    h-index

  2. AB
    Andrew B. Nobel

    University of North Carolina at Chapel Hill, United States

    5 publications · 215 citations

    5

    h-index

  3. MJ
    Martin J. Wainwright

    University of California, Berkeley, United States

    5 publications · 872 citations

    5

    h-index

  4. PM
    Philip M. Westgate

    University of Kentucky, United States

    4 publications · 64 citations

    4

    h-index

  5. HY
    Hu Yang

    Chongqing University, China

    3 publications · 66 citations

    3

    h-index

1–5 of 1.7K

Venues

  1. The Annals of Statistics

    20 publications · 6.4K citations

    17

    h-index

  2. Journal of the American Statistical Association

    18 publications · 6.6K citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 16 publications · 700 citations

    13

    h-index

  4. Communication in Statistics- Theory and Methods

    11 publications · 326 citations

    11

    h-index

  5. Technometrics

    13 publications · 1.2K citations

    11

    h-index

1–5