Absolute Error-score Interpretation
Absolute Error-Score Interpretation is a formal analytical framework within the domain of absolute decisions that provides a normative method for evaluating the magnitude of deviation between predicted and actual outcomes without directional bias, distinguishing itself by its exclusive focus on absolute error as a non-negative, unit-dependent measure of predictive inaccuracy.
14
Publications
928
Citations
25
Authors
15
Institutions
Publications per year
2017–2026
1
Parents
14
Evaluating epidemic forecasts in an interval format
Johannes Bracher, Evan L Ray, Tilmann Gneiting et al. · PLoS Computational Biology · 2021 · 303 citations · Full text
Robert W. Schutz, Éric Roy · Journal of Motor Behavior · 1973 · 179 citations
Social Sciences, Educational Assessment, Educational Measurement +14
1–5 of 14
25
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2
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2
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1–5 of 25
15
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
122 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
51 citations

University of British Columbia
Vancouver, Canada
2 h-index
3 publications
370 citations
Noyes Memorial Hospital
Dansville, United States
1 h-index
1 publications
25 citations

Long Island University
Brookville, United States
1 h-index
1 publications
47 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
1 h-index
2 publications
606 citations
Heidelberg Institute for Theoretical Studies
Heidelberg, Germany
1 h-index
2 publications
606 citations

McGill University
Montreal, Canada
1 h-index
1 publications
59 citations
1–8 of 15
JMB · 5 publications · 354 citations
5
h-index
JSR · 3 publications · 111 citations
3
h-index
1 publications · 47 citations
1
h-index
1 publications · 10 citations
1
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JID · 1 publications · 55 citations
1
h-index
1–5