Statistical Error

Statistical Error is a methodological contribution in the field of statistics that specifically identifies, characterizes, or corrects deviations arising from the inherent variability in data sampling or measurement, distinguishing itself from systematic biases by its random nature and its role in quantifying uncertainty within inferential procedures.

1.3K

Publications

142.4K

Citations

5.2K

Authors

1.4K

Institutions

Publications per year

2017–2026

241

Authors

5.2K

  1. AG
    Andrew Gelman

    Columbia University, United States

    6 publications · 2.4K citations

    6

    h-index

  2. SG
    Sander Greenland

    University of California, Los Angeles, United States

    6 publications · 4K citations

    6

    h-index

  3. JM
    Judith M. Tanur

    Stony Brook University, United States

    6 publications · 290 citations

    6

    h-index

  4. DS
    David S. Moore

    Purdue University West Lafayette, United States

    6 publications · 1K citations

    6

    h-index

  5. AS
    Aris Spanos

    Virginia Tech, United States

    6 publications · 524 citations

    6

    h-index

1–5 of 5.2K

Venues

  1. The Journal of Chemical Physics

    50 publications · 5.3K citations

    31

    h-index

  2. Physical Review Letters

    PRL · 25 publications · 5K citations

    23

    h-index

  3. The Astrophysical Journal

    ApJ · 24 publications · 3.8K citations

    22

    h-index

  4. The American Statistician

    27 publications · 3.9K citations

    22

    h-index

  5. Journal of the American Statistical Association

    32 publications · 2.5K citations

    22

    h-index

1–5