Mean Absolute Error Analysis
Mean Absolute Error Analysis is a statistical evaluation method that quantifies the average magnitude of prediction errors by computing the mean of absolute differences between predicted and observed values, distinguishing itself from other error metrics through its linear weighting of deviations regardless of direction.
868
Publications
53.3K
Citations
3K
Authors
1.3K
Institutions
Publications per year
2017–2026
388
Parents
868
In utero analysis of fetal growth: a sonographic weight standard.
F P Hadlock, R B Harrist, Juan Martinez‐Poyer · Radiology · 1991 · 1.3K citations
1–5 of 868
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9 publications · 253 citations
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6 publications · 199 citations
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1.3K

Centre National de la Recherche Scientifique
Paris, France
11 h-index
33 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
9 h-index
33 publications
908 citations

Tampere University of Applied Sciences
Tampere, Finland
9 h-index
24 publications
1.1K citations
University of Wisconsin–Madison
Madison, United States
8 h-index
15 publications
1.1K citations
Purdue University West Lafayette
West Lafayette, United States
8 h-index
16 publications
1.3K citations
University College London
London, United Kingdom
8 h-index
26 publications
1.4K citations

Johns Hopkins University
Baltimore, United States
7 h-index
25 publications
620 citations
University of Florida
Gainesville, United States
7 h-index
14 publications
721 citations
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22 publications · 5.2K citations
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JCTC · 14 publications · 773 citations
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14 publications · 1.4K citations
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12 publications · 437 citations
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10 publications · 271 citations
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