Least Squares Estimation is a parameter estimation method that minimizes the sum of squared differences between observed and predicted values to determine the optimal parameter values in a statistical model.
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Least SquaresLs EstimationMethod Of Least Squares
Parents
Publications
4.2K
On enantiomorph-polarity estimation
H. D. Flack · Acta Crystallographica Section A Foundations of Crystallography · 1983 · 10.4K citations
Natural Sciences, Chemistry, Physics +10
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Arthur E. Hoerl, Robert W. Kennard · Technometrics · 1970 · 8.9K citations
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2.2K
Stanford University
Stanford, United States
39 h-index
120 publications
32.3K citations
Jiangnan University
Wuxi, China
30 h-index
94 publications
7.2K citations
Massachusetts Institute of Technology
Cambridge, United States
27 h-index
53 publications
10.6K citations
Delft University of Technology
Delft, The Netherlands
24 h-index
56 publications
8.4K citations
University of Wisconsin–Madison
Madison, United States
23 h-index
38 publications
3.1K citations
University of Minnesota
Minneapolis, United States
23 h-index
46 publications
8.7K citations
KU Leuven
Leuven, Belgium
23 h-index
78 publications
7K citations
University of California, Berkeley
Berkeley, United States
22 h-index
39 publications
6K citations
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Venues
- Journal of the American Statistical Association
156 publications · 28.8K citations
64
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- Technometrics
111 publications · 35.2K citations
52
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- IEEE Transactions on Signal Processing
109 publications · 6.2K citations
47
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- The Annals of Statistics
61 publications · 5.9K citations
38
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- Biometrika
56 publications · 5.4K citations
36
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