Applied Statistics

Applied Statistics is a branch of applied mathematics that employs statistical methods to analyze and interpret empirical data in order to solve practical problems in diverse scientific, industrial, and social contexts.

3.2K

Publications

655.6K

Citations

4.1K

Authors

1.1K

Institutions

Publications per year

2017–2026

170

Variants

Applied Statistical Science

Authors

4.1K

  1. ER
    Eric R. Ziegel

    Kyocera (United States), United States

    49 publications · 25.8K citations

    35

    h-index

  2. MG
    M. G. Kendall

    London School of Economics and Political Science, United Kingdom

    17 publications · 14.6K citations

    15

    h-index

  3. RD
    Ronald D. Snee

    DuPont (United States), United States

    15 publications · 606 citations

    13

    h-index

  4. RW
    Roger W. Hoerl

    GE Global Research (United States), United States

    14 publications · 853 citations

    13

    h-index

  5. DS
    David S. Moore

    Purdue University West Lafayette, United States

    14 publications · 2.4K citations

    13

    h-index

1–5 of 4.1K

Venues

  1. Technometrics

    317 publications · 112.2K citations

    117

    h-index

  2. Journal of the American Statistical Association

    338 publications · 97.7K citations

    106

    h-index

  3. The American Statistician

    201 publications · 14K citations

    54

    h-index

  4. 51

    h-index

  5. Biometrics

    84 publications · 49.3K citations

    46

    h-index

1–5