Confidence Envelopes

Confidence Envelopes is a visualization technique in the field of uncertainty quantification that represents the bounds of statistical confidence across a range of predicted or observed values, distinguishing itself by graphically enclosing the region of probable outcomes around a central estimate to convey the variability and reliability of data predictions.

24

Publications

1.2K

Citations

38

Authors

29

Institutions

Publications per year

2017–2026

2

Authors

38

  1. RA
    Rafael A. Flores

    Institute of Nutrition of Central America and Panama, Guatemala

    2 publications · 46 citations

    2

    h-index

  2. HW
    Howard Wainer

    Educational Testing Service, United States

    2 publications · 37 citations

    2

    h-index

  3. YL
    Yehua Li

    Iowa State University, United States

    2 publications · 55 citations

    2

    h-index

  4. VF
    Virginia F. Flack

    University of California, Los Angeles, United States

    2 publications · 46 citations

    2

    h-index

  5. JP
    John Porrill

    University of Sheffield, United Kingdom

    2 publications · 166 citations

    2

    h-index

1–5 of 38

Venues

  1. Journal of Statistical Software

    JSS · 3 publications · 403 citations

    3

    h-index

  2. Journal of Educational Statistics

    2 publications · 37 citations

    2

    h-index

  3. Technometrics

    2 publications · 46 citations

    2

    h-index

  4. Statistica Sinica

    2 publications · 55 citations

    2

    h-index

  5. Biometrics

    2 publications · 28 citations

    2

    h-index

1–5