Applications to Probability is a mathematical framework within the theory of multiple integrals that enables the computation of probabilities and expected values for continuous random variables by integrating joint probability density functions over specified regions.
1.1K
Publications
183.5K
Citations
1.5K
Authors
542
Institutions
Publications per year
2017–2026
42
Parents
Publications
1.1K
Mathematical Methods of Statistics.
R. C. Geary, H. Leslie Cramer · The Economic Journal · 1947 · 6K citations
1–5 of 1.1K
Authors
1.5K
- WF
25
h-index
- SM
9
h-index
- MGM. G. Kendall
London School of Economics and Political Science, United Kingdom
9 publications · 3.1K citations
9
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- SN
9
h-index
- AG
8
h-index
1–5 of 1.5K
Institutions
542
Stanford University
Stanford, United States
9 h-index
12 publications
1.2K citations
University of Nebraska–Lincoln
Lincoln, United States
8 h-index
8 publications
128 citations
National Institute of Standards and Technology
Gaithersburg, United States
7 h-index
9 publications
2.6K citations
McGill University
Montreal, Canada
7 h-index
9 publications
313 citations
University of California, Berkeley
Berkeley, United States
7 h-index
9 publications
1.2K citations
National Institute of Standards
Giza, Egypt
7 h-index
9 publications
2.6K citations
University of Oxford
Oxford, United Kingdom
6 h-index
10 publications
2.1K citations
Centre National de la Recherche Scientifique
Paris, France
6 h-index
9 publications
224 citations
1–8 of 542
Venues
- Technometrics
76 publications · 21K citations
49
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- Journal of the American Statistical Association
78 publications · 14.9K citations
41
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- Journal of the Royal Statistical Society Series A (General)
31 publications · 15.4K citations
25
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- Biometrika
32 publications · 6K citations
24
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- American Mathematical Monthly
27 publications · 8.9K citations
22
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1–5