Hypothesis Testing

Hypothesis Testing is a formal statistical procedure within inferential statistics that assesses the validity of a claim about a population parameter by determining the probability of observing the sample data under the assumption that the null hypothesis is true.

20.4K

Publications

2.4M

Citations

23.8K

Authors

5.1K

Institutions

Publications per year

2017–2026

2.2K

Authors

23.8K

  1. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    69 publications · 17.4K citations

    41

    h-index

  2. MA
    Michael A. Stephens

    Simon Fraser University, Canada

    50 publications · 10.3K citations

    29

    h-index

  3. JL
    Joseph L. Gastwirth

    George Washington University, United States

    41 publications · 3.1K citations

    29

    h-index

  4. JP
    Joseph P. Romano

    Stanford University, United States

    30 publications · 3.2K citations

    28

    h-index

  5. RR
    Rand R. Wilcox

    University of Southern California, United States

    60 publications · 3.5K citations

    26

    h-index

1–5 of 23.8K

Venues

  1. Journal of the American Statistical Association

    1.3K publications · 215.5K citations

    178

    h-index

  2. Biometrika

    812 publications · 115.5K citations

    134

    h-index

  3. The Annals of Mathematical Statistics

    445 publications · 83.3K citations

    114

    h-index

  4. Biometrics

    439 publications · 81.3K citations

    108

    h-index

  5. The Annals of Statistics

    446 publications · 52.1K citations

    101

    h-index

1–5