Mean Squared Error Analysis
Mean Squared Error Analysis is a statistical evaluation method that quantifies the average squared difference between estimated and true values, serving as a measure of estimator accuracy in estimation validation.
485
Publications
46.4K
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898
Authors
451
Institutions
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2017–2026
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485
Estimation of the Mean of a Multivariate Normal Distribution
Charles Stein · The Annals of Statistics · 1981 · 2.8K citations · Full text
Variable Selection for Propensity Score Models
M. Alan Brookhart, Sebastian Schneeweiß, Kenneth J. Rothman et al. · American Journal of Epidemiology · 2006 · 2.3K citations · Full text
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University of Wisconsin–Madison
Madison, United States
10 h-index
15 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
10 h-index
17 publications
2.1K citations
Stanford University
Stanford, United States
10 h-index
16 publications
2.4K citations
Technion – Israel Institute of Technology
Haifa, Israel
10 h-index
18 publications
897 citations
University of Michigan
Ann Arbor, United States
8 h-index
12 publications
429 citations
Purdue University West Lafayette
West Lafayette, United States
6 h-index
10 publications
565 citations
University of Rhode Island
Kingston, United States
6 h-index
6 publications
590 citations
TU Dortmund University
Dortmund, Germany
6 h-index
8 publications
189 citations
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29 publications · 1.5K citations
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18 publications · 752 citations
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