Variance Correction
Variance Correction is a methodological framework within the domain of organizational learning and adaptive systems that systematically identifies and rectifies discrepancies between intended and actual performance through feedback-driven adjustments without altering underlying assumptions or policies, distinguishing it from higher-order learning processes that involve strategic or structural change.
31
Publications
3.5K
Citations
82
Authors
47
Institutions
Publications per year
2017–2026
5
Parents
31
Multilevel Monte Carlo methods
Michael B. Giles · Acta Numerica · 2015 · 789 citations · Full text
Business, Computational Engineering, Computational Physics +14
Performance of Generalized Estimating Equations in Practical Situations
Stuart R. Lipsitz, Garrett M. Fitzmaurice, E. John Orav et al. · Biometrics · 1994 · 223 citations
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47
University of Oxford
Oxford, United Kingdom
4 h-index
5 publications
1.2K citations
Harvard University
Cambridge, United States
2 h-index
5 publications
703 citations

Hohai University
Nanjing, China
2 h-index
5 publications
177 citations
City University of New York
New York, United States
2 h-index
2 publications
41 citations

University of Nottingham
Nottingham, United Kingdom
1 h-index
3 publications
168 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
1 publications
19 citations

University of Helsinki
Helsinki, Finland
1 h-index
2 publications
28 citations

University of Waterloo
Waterloo, Canada
1 h-index
3 publications
66 citations
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2 publications · 874 citations
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1 publications · 47 citations
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1 publications · 14 citations
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1 publications · 16 citations
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1 publications · 54 citations
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