Interval Width Evaluation

Interval Width Evaluation is a metric in revenue forecast evaluation that quantifies the precision of prediction intervals by measuring their average width relative to the scale of the observed values, balancing the trade-off between interval reliability and informativeness.

17

Publications

2K

Citations

39

Authors

33

Institutions

Publications per year

2017–2026

1

Authors

39

  1. EM
    Edward M. Burns

    University of Washington, United States

    1 publications · 292 citations

    1

    h-index

  2. DG
    Dale G. Shaw

    University of Northern Colorado, United States

    1 publications · 11 citations

    1

    h-index

  3. MW
    M.L. Walker

    General Atomics (United States), United States

    1 publications · 10 citations

    1

    h-index

  4. RK
    Robin K. Henson

    University of North Texas, United States

    1 publications · 36 citations

    1

    h-index

  5. RF
    R.C. Forbes

    Loughborough University, United Kingdom

    1 publications · 21 citations

    1

    h-index

1–5 of 39

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 2 publications · 1.1K citations

    2

    h-index

  2. Internet Archaeology

    1 publications · 26 citations

    1

    h-index

  3. Statistics in Medicine

    1 publications · 187 citations

    1

    h-index

  4. International Journal of Computer Mathematics

    1 publications · 21 citations

    1

    h-index

  5. 1

    h-index

1–5