Statistical Error
Statistical Error is a methodological contribution in the field of statistics that specifically identifies, characterizes, or corrects deviations arising from the inherent variability in data sampling or measurement, distinguishing itself from systematic biases by its random nature and its role in quantifying uncertainty within inferential procedures.
1.3K
Publications
142.4K
Citations
5.2K
Authors
1.4K
Institutions
Publications per year
2017–2026
241
Parents
1.3K
Describing Uncertainty in Single Sample Experiments
S. J. Kline · Mechanical Engineering · 1953 · 6.6K citations
Computing, Mathematics, Statistics +11
Biometrika · 1908 · 3.9K citations
1–5 of 1.3K
5.2K
6
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6
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6
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6
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6
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1–5 of 5.2K
1.4K
University of California, Berkeley
Berkeley, United States
22 h-index
52 publications
7.3K citations
University of Michigan
Ann Arbor, United States
18 h-index
43 publications
3.9K citations

Centre National de la Recherche Scientifique
Paris, France
16 h-index
136 publications
16.6K citations

Cornell University
Ithaca, United States
15 h-index
27 publications
2.5K citations
Stanford University
Stanford, United States
15 h-index
29 publications
15.4K citations

Pennsylvania State University
State College, United States
15 h-index
29 publications
2.4K citations
University of California, Los Angeles
Los Angeles, United States
15 h-index
25 publications
4.8K citations
Columbia University
New York, United States
14 h-index
38 publications
2.4K citations
1–8 of 1.4K
50 publications · 5.3K citations
31
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PRL · 25 publications · 5K citations
23
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ApJ · 24 publications · 3.8K citations
22
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27 publications · 3.9K citations
22
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32 publications · 2.5K citations
22
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1–5