Validation Against Production Data is a methodological approach in estimation research that involves assessing the accuracy and reliability of an estimation model by comparing its outputs to actual observed data from real-world operational environments, thereby distinguishing it from validation against synthetic or simulated data.
71
Publications
2.8K
Citations
329
Authors
116
Institutions
Publications per year
2017–2026
19
Parents
Publications
71
Current ratios: a self-scaling technique for production IDDQ testing
Alexander P. Maxwell, P. O'Neill, Robert Aitken et al. · 2002 · 84 citations
Engineering, Computer Engineering, Electrical Engineering +17
1–5 of 71
Authors
329
- MO
3
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- ML
2
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- RA
2
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2
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2
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1–5 of 329
Institutions
116
Université Laval
Québec, Canada
3 h-index
7 publications
1K citations
Stanford University
Stanford, United States
3 h-index
7 publications
332 citations
Chevron (Netherlands)
Rotterdam, Netherlands
3 h-index
8 publications
142 citations
University of Science and Technology Beijing
Beijing, China
2 h-index
10 publications
325 citations
Duke University
Durham, United States
2 h-index
13 publications
440 citations
University of Calgary
Calgary, Canada
2 h-index
4 publications
80 citations
Micro Focus (United States)
Rockville, United States
2 h-index
2 publications
39 citations
North Carolina State University
Raleigh, United States
2 h-index
6 publications
123 citations
1–8 of 116
Venues
- European Journal of Operational Research
4 publications · 424 citations
4
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- Journal of Natural Gas Science and Engineering
4 publications · 130 citations
4
h-index
- SPE Journal
2 publications · 120 citations
2
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- Journal of Dairy Science
JDS · 2 publications · 100 citations
2
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- SPE Eastern Regional Meeting
1 publications · 11 citations
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