Jackknife Validation
Jackknife Validation is a resampling technique in statistical validation that systematically omits individual observations from the dataset to assess the stability and robustness of an estimator by computing its value across subsamples formed through the sequential removal of single data points.
357
Publications
33K
Citations
1.1K
Authors
525
Institutions
Publications per year
2017–2026
83
Variants
Leave-one-out Cross-validation
Parents
357
Richard G. Pearson, Christopher J. Raxworthy, Miguel Nakamura et al. · Journal of Biogeography · 2006 · 3.1K citations · Full text
Life Sciences, Ecology, Zoology +13
Rupert G. Miller · Biometrika · 1974 · 1.4K citations
1–5 of 357
525

University of Electronic Science and Technology of China
Chengdu, China
30 h-index
95 publications
10.7K citations
The Gordon Life Science Institute
Boston, United States
27 h-index
47 publications
8.8K citations

Chinese Academy of Sciences
Beijing, China
24 h-index
74 publications
5.1K citations

North China University of Science and Technology
Tangshan, China
23 h-index
40 publications
4.4K citations

Shanghai University
Shanghai, China
19 h-index
38 publications
2.4K citations
Shanghai Institutes for Biological Sciences
Shanghai, China
16 h-index
59 publications
3.2K citations
Jingdezhen Ceramic Institute
Jingdezhen, China
14 h-index
38 publications
5.7K citations
Tianjin University
Tianjin, China
13 h-index
27 publications
2.2K citations
1–8 of 525
21 publications · 1.1K citations
18
h-index
17 publications · 1.8K citations
16
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13 publications · 890 citations
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14 publications · 1.6K citations
13
h-index
8 publications · 875 citations
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