Nonparametric Tests
Nonparametric Tests is a class of statistical hypothesis testing methods that do not assume a specific distributional form for the underlying population parameters, distinguishing it from parametric tests by relying on fewer assumptions about the data’s probability distribution.
3K
Publications
358.5K
Citations
7.3K
Authors
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Institutions
Publications per year
2017–2026
472
Variants
Distribution-free TestsNon-parametric Tests
Parents
3K
Nonparametric Tests Against Trend
Henry B. Mann · Econometrica · 1945 · 16.7K citations
A new method for non‐parametric multivariate analysis of variance
Marti J. Anderson · Austral Ecology · 2001 · 13.3K citations
Practical Nonparametric Statistics
David J. Groggel, W. J. Conover · Technometrics · 2000 · 11.1K citations
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University of North Carolina at Chapel Hill, United States
18 publications · 1.3K citations
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13
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13
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2.5K
Texas A&M University
College Station, United States
24 h-index
45 publications
3.8K citations
Stanford University
Stanford, United States
19 h-index
38 publications
2.6K citations
University of Michigan
Ann Arbor, United States
19 h-index
40 publications
14.7K citations
Columbia University
New York, United States
19 h-index
60 publications
10.3K citations
University of Wisconsin–Madison
Madison, United States
19 h-index
49 publications
3.6K citations

University of Toronto
Toronto, Canada
18 h-index
40 publications
3K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
17 h-index
40 publications
3K citations

Carleton University
Ottawa, Canada
17 h-index
23 publications
2.1K citations
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196 publications · 31.3K citations
67
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65 publications · 7.8K citations
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63 publications · 7.6K citations
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63 publications · 5.2K citations
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48 publications · 19.1K citations
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