Model Robustness Testing
Model Robustness Testing is a methodological framework within revenue forecast evaluation that assesses the stability and reliability of a forecasting model under varying assumptions, data perturbations, or structural changes to determine its resilience to uncertainty and misspecification.
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Publications
16K
Citations
671
Authors
391
Institutions
Publications per year
2017–2026
72
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246
Structural model robustness checks in PLS-SEM
Marko Sarstedt, Christian M. Ringle, Jun‐Hwa Cheah et al. · Tourism Economics · 2019 · 1.2K citations
Testing for parameter instability in linear models
Bruce E. Hansen · Journal of Policy Modeling · 1992 · 765 citations
Diagnostic tests as residual analysis
A. R. Pagan, Anthony Hall · Econometric Reviews · 1983 · 444 citations
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Federal Reserve Board of Governors
Washington D.C., United States
7 h-index
10 publications
1K citations
Federal Reserve
Washington D.C., United States
7 h-index
11 publications
588 citations

University of York
York, United Kingdom
4 h-index
10 publications
229 citations
Stanford University
Stanford, United States
4 h-index
5 publications
817 citations

University of Manchester
Manchester, United Kingdom
4 h-index
4 publications
349 citations

Monash University
Melbourne, Australia
4 h-index
6 publications
183 citations

Universitat Pompeu Fabra
Barcelona, Spain
4 h-index
4 publications
131 citations

University of Hull
Hull, United Kingdom
3 h-index
4 publications
830 citations
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Repository · 14 publications · 512 citations
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7 publications · 1K citations
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6 publications · 272 citations
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5 publications · 105 citations
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Repository · 4 publications · 298 citations
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