Confidence Intervals

Confidence Intervals is a statistical inference method that specifies a range of values, derived from sample data, within which an unknown population parameter is estimated to lie with a stated probability of correctness.

3.5K

Publications

289K

Citations

4.6K

Authors

1.8K

Institutions

Publications per year

2017–2026

360

Authors

4.6K

  1. PH
    Peter Hall

    Australian National University, Australia

    20 publications · 2.2K citations

    19

    h-index

  2. DG
    Douglas G. Bonett

    Iowa State University, United States

    21 publications · 3.8K citations

    18

    h-index

  3. KK
    K. Krishnamoorthy

    University of Louisiana at Lafayette, United States

    21 publications · 1K citations

    17

    h-index

  4. RG
    Robert G. Newcombe

    University of Wales, United Kingdom

    17 publications · 8.2K citations

    17

    h-index

  5. GC
    Geoff Cumming

    La Trobe University, Australia

    17 publications · 4.7K citations

    16

    h-index

1–5 of 4.6K

Venues

  1. Journal of the American Statistical Association

    286 publications · 35.2K citations

    69

    h-index

  2. Statistics in Medicine

    130 publications · 20.8K citations

    53

    h-index

  3. Technometrics

    128 publications · 8.4K citations

    44

    h-index

  4. The Annals of Statistics

    92 publications · 8.3K citations

    44

    h-index

  5. Biometrika

    107 publications · 12.8K citations

    44

    h-index

1–5