Jackknife Variance Estimation
Jackknife Variance Estimation is a resampling-based statistical method that belongs to the class of nonparametric variance estimation techniques, distinguished by its systematic omission of one observation at a time from the sample to compute pseudo-values and thereby estimate the variance of a statistic.
272
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46.8K
Citations
449
Authors
249
Institutions
Publications per year
2017–2026
27
272
Bootstrap Methods: Another Look at the Jackknife
B. Efron · The Annals of Statistics · 1979 · 17.4K citations · Full text
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National Agricultural Statistics Service, United States
4 publications · 251 citations
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Carleton University
Ottawa, Canada
17 h-index
22 publications
1.4K citations
University of Washington
Seattle, United States
6 h-index
10 publications
643 citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
8 publications
7.2K citations
Southern Methodist University
Dallas, United States
6 h-index
9 publications
186 citations
Statistics Canada
Ottawa, Canada
5 h-index
6 publications
1.6K citations
Simon Fraser University
Burnaby, Canada
5 h-index
8 publications
137 citations
Stanford University
Stanford, United States
5 h-index
7 publications
19.4K citations
Georgia State University
Atlanta, United States
4 h-index
5 publications
102 citations
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35 publications · 7.2K citations
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22 publications · 23.9K citations
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16 publications · 2.1K citations
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8 publications · 1.4K citations
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8 publications · 220 citations
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