Confidence Interval Visualization

Confidence Interval Visualization is a probabilistic visualization technique that graphically represents the range of plausible values for an estimated parameter at a specified confidence level, distinguishing itself by conveying statistical uncertainty through bounded intervals derived from sampling distributions.

28

Publications

2.5K

Citations

55

Authors

42

Institutions

Publications per year

2017–2026

10

Authors

55

  1. MH
    Margaret H. Sarner

    Rutgers, The State University of New Jersey, United States

    2 publications · 156 citations

    2

    h-index

  2. RD
    Ronald D. Snee

    DuPont (United States), United States

    2 publications · 156 citations

    2

    h-index

  3. GC
    Geoff Cumming

    La Trobe University, Australia

    2 publications · 59 citations

    2

    h-index

  4. HP
    Horace P. Andrews

    Rutgers, The State University of New Jersey, United States

    2 publications · 156 citations

    2

    h-index

  5. BJ
    Ben Jann

    Max Planck Institute of Immunobiology and Epigenetics, Germany

    2 publications · 407 citations

    2

    h-index

1–5 of 55

Venues

  1. The American Statistician

    5 publications · 262 citations

    5

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 61 citations

    2

    h-index

  4. BMJ

    1 publications · 32 citations

    1

    h-index

  5. Journal of Pediatric Psychology

    1 publications · 42 citations

    1

    h-index

1–5