Forecast Interval Analysis

Forecast Interval Analysis is a statistical method that quantifies the uncertainty surrounding predicted revenue outcomes by constructing a range of values within which future revenue is expected to fall with a specified level of confidence.

50

Publications

7.2K

Citations

131

Authors

73

Institutions

Publications per year

2017–2026

16

Authors

131

  1. WB
    Wayne B. Thomas

    University of Oklahoma, United States

    2 publications · 143 citations

    2

    h-index

  2. HJ
    Hossein Javedani Sadaei

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 117 citations

    2

    h-index

  3. JW
    Jianzhou Wang

    Dongbei University of Finance and Economics, China

    2 publications · 75 citations

    2

    h-index

  4. DH
    Don Herrmann

    Oklahoma State University, United States

    2 publications · 143 citations

    2

    h-index

  5. CM
    Carlos Maté

    Universidad Pontificia Comillas, Spain

    2 publications · 130 citations

    2

    h-index

1–5 of 131

Venues

  1. RePEc: Research Papers in Economics

    Repository · 3 publications · 60 citations

    3

    h-index

  2. Journal of Forecasting

    3 publications · 129 citations

    3

    h-index

  3. Expert Systems with Applications

    2 publications · 61 citations

    2

    h-index

  4. IEEE Transactions on Power Systems

    2 publications · 231 citations

    2

    h-index

  5. Applied Mathematical Modelling

    2 publications · 150 citations

    2

    h-index

1–5