Robust Uncertainty Analysis
Robust Uncertainty Analysis is a systematic methodological framework within measurement science that characterizes uncertainty in the presence of outliers, model misspecification, or non-ideal data conditions by employing statistical techniques resistant to violations of standard assumptions.
153
Publications
22.8K
Citations
484
Authors
267
Institutions
Publications per year
2017–2026
54
Parents
153
Ricardo C. L. F. Oliveira, Pedro L. D. Peres · IEEE Transactions on Automatic Control · 2007 · 475 citations
Multihazard Scenarios for Analysis of Compound Extreme Events
Mojtaba Sadegh, Hamed Moftakhari, Hoshin V. Gupta et al. · Geophysical Research Letters · 2018 · 269 citations · Full text
Efficient Uncertainty Analysis Methods for Multidisciplinary Robust Design
Xiaoping Du · AIAA Journal · 2002 · 199 citations
1–5 of 153
484
Commonwealth Scientific and Industrial Research Organisation, Australia
3 publications · 165 citations
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3
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3
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1–5 of 484
267
University of Michigan
Ann Arbor, United States
4 h-index
7 publications
181 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
3 h-index
6 publications
1.1K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
5 publications
289 citations
Tsinghua University
Beijing, China
3 h-index
7 publications
309 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
3 h-index
7 publications
205 citations
California Institute of Technology
Pasadena, United States
3 h-index
6 publications
32.7K citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
177 citations

Iran University of Science and Technology
Tehran, Iran
3 h-index
6 publications
130 citations
1–8 of 267
5 publications · 541 citations
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4 publications · 139 citations
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3 publications · 188 citations
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3 publications · 410 citations
3
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JSV · 3 publications · 96 citations
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