Confidence Interval Estimation
Confidence Interval Estimation is a statistical inference method that, within the context of discrete-event simulation and parameter estimation under uncertainty, provides a range of values around an estimated parameter, derived from sample data, which is expected to contain the true parameter value with a specified level of confidence, thereby quantifying the precision of the estimate in relation to measurement uncertainty and supporting reliability validation in simulation modeling.
2.7K
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Citations
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Authors
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Institutions
Publications per year
2017–2026
494
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University at Buffalo, State University of New York, United States
14 publications · 723 citations
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Stanford University
Stanford, United States
23 h-index
54 publications
3.5K citations
University of Washington
Seattle, United States
21 h-index
41 publications
2.5K citations
Harvard University
Cambridge, United States
20 h-index
40 publications
3.3K citations
Arizona State University
Tempe, United States
20 h-index
48 publications
6.3K citations
North Carolina State University
Raleigh, United States
20 h-index
41 publications
1.8K citations

Pennsylvania State University
State College, United States
18 h-index
36 publications
2.8K citations
Iowa State University
Ames, United States
18 h-index
33 publications
2.1K citations
Georgia Institute of Technology
Atlanta, United States
18 h-index
33 publications
1.3K citations
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147 publications · 12.4K citations
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111 publications · 23.2K citations
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70 publications · 9K citations
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47 publications · 2.7K citations
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52 publications · 1.5K citations
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