Forecast Trend Extrapolation

Forecast Trend Extrapolation is a quantitative forecasting method that projects future values based on the persistent direction and rate of change observed in historical time series data, distinguished by its reliance on the assumption that underlying trends will continue unchanged into the future.

29

Publications

1.1K

Citations

68

Authors

46

Institutions

Publications per year

2017–2026

5

Authors

68

  1. RF
    Robert Fildes

    Lancaster University, United Kingdom

    2 publications · 112 citations

    2

    h-index

  2. MM
    Ming Meng

    North China Electric Power University, China

    2 publications · 65 citations

    2

    h-index

  3. FC
    Fred Collopy

    Case Western Reserve University, United States

    2 publications · 46 citations

    2

    h-index

  4. JP
    Joseph P. Martino

    University of Dayton, United States

    1 publications · 52 citations

    1

    h-index

  5. CH
    Cars Hommes

    University of Amsterdam, Netherlands

    1 publications · 35 citations

    1

    h-index

1–5 of 68

Venues

  1. Journal of Forecasting

    4 publications · 318 citations

    4

    h-index

  2. Information Systems Research

    ISR · 2 publications · 48 citations

    2

    h-index

  3. Economic Systems Research

    2 publications · 60 citations

    2

    h-index

  4. European Journal of Operational Research

    1 publications · 25 citations

    1

    h-index

  5. Environmental Health and Preventive Medicine

    1 publications · 74 citations

    1

    h-index

1–5