Multivariate Analysis

Multivariate Analysis is a statistical methodology that belongs to the genus of inferential techniques and is differentiated by its focus on simultaneously analyzing multiple variables to understand their joint distribution, interrelationships, and collective effect on underlying patterns or processes in data.

12.9K

Publications

1.7M

Citations

18.7K

Authors

4.4K

Institutions

Publications per year

2017–2026

1.9K

Authors

18.7K

  1. WJ
    W. J. Krzanowski

    University of Exeter, United Kingdom

    49 publications · 5K citations

    28

    h-index

  2. JF
    John F. MacGregor

    McMaster University, Canada

    31 publications · 7.2K citations

    27

    h-index

  3. HO
    Hannu Oja

    44 publications · 2.5K citations

    27

    h-index

  4. DM
    Douglas M. Hawkins

    University of Minnesota, United States

    32 publications · 2.9K citations

    26

    h-index

  5. CG
    Christian Genest

    Université Laval, Canada

    27 publications · 5.9K citations

    24

    h-index

1–5 of 18.7K

Venues

  1. Journal of the American Statistical Association

    611 publications · 118.9K citations

    149

    h-index

  2. Technometrics

    304 publications · 77.7K citations

    102

    h-index

  3. Biometrika

    370 publications · 60.5K citations

    93

    h-index

  4. Biometrics

    212 publications · 52.9K citations

    83

    h-index

  5. Journal of Multivariate Analysis

    479 publications · 25.7K citations

    79

    h-index

1–5