Hotelling's T-squared Test

Hotelling's T-Squared Test is a multivariate statistical hypothesis test that generalizes the Student's t-test by assessing whether the mean vector of a multivariate normal distribution differs significantly from a hypothesized value under a single population or between two populations.

105

Publications

8.4K

Citations

186

Authors

108

Institutions

Publications per year

2017–2026

6

Variants

Hotelling T-squared TestHotelling T2 TestHotelling's T2 Test

Authors

186

  1. GS
    Govind S. Mudholkar

    University of Rochester, United States

    4 publications · 61 citations

    4

    h-index

  2. DR
    D. R. Jensen

    Virginia Tech, United States

    3 publications · 53 citations

    3

    h-index

  3. MS
    Muni S. Srivastava

    University of Toronto, Canada

    3 publications · 187 citations

    3

    h-index

  4. AC
    Alvin C. Rencher

    Brigham Young University, United States

    3 publications · 105 citations

    3

    h-index

  5. MD
    Michael D. Perlman

    University of Washington, United States

    3 publications · 187 citations

    3

    h-index

1–5 of 186

Venues

  1. Journal of the American Statistical Association

    18 publications · 733 citations

    13

    h-index

  2. The Annals of Mathematical Statistics

    10 publications · 571 citations

    10

    h-index

  3. Biometrics

    6 publications · 1.4K citations

    6

    h-index

  4. 5

    h-index

  5. Journal of Multivariate Analysis

    5 publications · 129 citations

    5

    h-index

1–5