Coverage Error Analysis
Coverage Error Analysis is a methodological framework in data quality control that identifies and quantifies discrepancies between the intended population of interest and the actual sample or dataset collected, distinguishing it from other error analyses by focusing specifically on representational gaps due to undercoverage or overcoverage in data acquisition.
76
Publications
4.4K
Citations
158
Authors
93
Institutions
Publications per year
2017–2026
16
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76
Introduction to Survey Quality
Technometrics · 2003 · 548 citations
Empirical Likelihood is Bartlett-Correctable
Thomas J. DiCiccio, Peter Hall, Joseph P. Romano · The Annals of Statistics · 1991 · 406 citations · Full text
On bootstrap resampling and iteration
Peter Hall, Michael A. Martin · Biometrika · 1988 · 203 citations
CONFIDENCE INTERVALS FOR THE LOG-NORMAL MEAN
Xiao‐Hua Zhou, Sujuan Gao · Statistics in Medicine · 1997 · 187 citations · Full text
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Australian National University
Canberra, Australia
7 h-index
11 publications
714 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
5 h-index
8 publications
179 citations
University of Nebraska Medical Center
Omaha, United States
3 h-index
7 publications
299 citations
The Ohio State University
Columbus, United States
3 h-index
8 publications
436 citations
University of Houston
Houston, United States
3 h-index
6 publications
309 citations

Universidad de Granada
Granada, Spain
2 h-index
11 publications
284 citations
National Opinion Research Center
Chicago, United States
2 h-index
2 publications
56 citations
United States Census Bureau
Suitland, United States
2 h-index
3 publications
147 citations
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7 publications · 338 citations
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6 publications · 822 citations
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5 publications · 425 citations
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3 publications · 188 citations
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Repository · 3 publications · 152 citations
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