Level Component Estimation

Level Component Estimation is a statistical method used in time series analysis that belongs to the class of exponential smoothing techniques, specifically designed to capture and update the underlying baseline value of a series by assigning exponentially decreasing weights to past observations.

9

Publications

725

Citations

24

Authors

20

Institutions

Publications per year

2017–2026

2

Authors

24

  1. MT
    Mark T. Leung

    The University of Texas at San Antonio, United States

    2 publications · 469 citations

    2

    h-index

  2. HD
    Hazem Daouk

    Cornell University, United States

    2 publications · 469 citations

    2

    h-index

  3. AC
    An‐Sing Chen

    National Chung Cheng University, Taiwan

    2 publications · 469 citations

    2

    h-index

  4. CP
    C. P. Fischer

    Nawi Graz, Austria

    1 publications · 10 citations

    1

    h-index

  5. AH
    Andrew Harvey

    University of Cambridge, United Kingdom

    1 publications · 102 citations

    1

    h-index

1–5 of 24

Venues

  1. 1

    h-index

  2. SSRN Electronic Journal

    Repository · 1 publications · 93 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Time Series Analysis

    1 publications · 102 citations

    1

    h-index

  5. International Journal of Forecasting

    1 publications · 376 citations

    1

    h-index

1–5