Model Residual Analysis is a diagnostic procedure in statistical and predictive modeling that examines the differences between observed and predicted values to assess model adequacy and identify systematic errors or patterns unaccounted for by the fitted model.
103
Publications
12.2K
Citations
279
Authors
167
Institutions
Publications per year
2017–2026
14
Parents
Publications
103
Residuals and Influence in Regression.
Anthony C. Atkinson, R. Dennis Cook, Sanford Weisberg · Biometrics · 1983 · 1.9K citations
The Examination and Analysis of Residuals
F. J. Anscombe, John W. Tukey · Technometrics · 1963 · 524 citations
1–5 of 103
Authors
279
- SJ
3
h-index
- SW
3
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- AK
2
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- WH
2
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- FC
2
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1–5 of 279
Institutions
167
University of Minnesota System
Minneapolis, United States
3 h-index
7 publications
7.1K citations
University of Minnesota
Minneapolis, United States
3 h-index
7 publications
7.1K citations
The University of Texas at Austin
Austin, United States
3 h-index
5 publications
323 citations
Universidade de São Paulo
São Paulo, Brazil
3 h-index
4 publications
578 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
134 citations
University of California, Davis
Davis, United States
2 h-index
2 publications
176 citations
University of Milan
Milan, Italy
2 h-index
2 publications
84 citations
Montana State University
Bozeman, United States
2 h-index
2 publications
273 citations
1–8 of 167
Venues
- Technometrics
6 publications · 979 citations
6
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- Biometrical Journal
4 publications · 242 citations
4
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- Biometrika
4 publications · 103 citations
4
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- Computational Statistics & Data Analysis
CSDA · 3 publications · 133 citations
3
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- Journal of the American Statistical Association
3 publications · 661 citations
3
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