Root Mean Squared Error Analysis
Root Mean Squared Error Analysis is a statistical evaluation method that quantifies the average magnitude of prediction errors by computing the square root of the mean of squared differences between predicted and observed values, distinguishing itself through its sensitivity to large errors due to the squaring operation.
332
Publications
42.5K
Citations
908
Authors
475
Institutions
Publications per year
2017–2026
113
Variants
Rmse AnalysisRoot Mean Square Error
Parents
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475
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
1.7K citations

University of British Columbia
Vancouver, Canada
5 h-index
8 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
5 h-index
14 publications
810 citations
Stanford University
Stanford, United States
5 h-index
5 publications
455 citations

University of Manitoba
Winnipeg, Canada
4 h-index
4 publications
88 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
10 publications
686 citations
New York University
New York, United States
3 h-index
4 publications
83 citations
Triangle
Malden, United States
3 h-index
3 publications
167 citations
1–8 of 475
8 publications · 1.6K citations
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7 publications · 949 citations
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5 publications · 531 citations
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5 publications · 602 citations
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5 publications · 233 citations
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