Smoothing Parameters
Smoothing Parameters is a set of scalar coefficients within an exponential smoothing model that governs the weighting decay of past observations in forecasting, distinguishing it as the mechanism determining the responsiveness to historical data trends and level adjustments.
317
Publications
39.8K
Citations
575
Authors
346
Institutions
Publications per year
2017–2026
51
Parents
317
Exponential smoothing: The state of the art
Everette S. Gardner · Journal of Forecasting · 1985 · 1.4K citations
Business, Meteorology, Forecasting +13
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346
Texas A&M University
College Station, United States
8 h-index
8 publications
304 citations
KU Leuven
Leuven, Belgium
7 h-index
11 publications
535 citations
Virginia Tech
Blacksburg, United States
7 h-index
7 publications
949 citations

Monash University
Melbourne, Australia
6 h-index
14 publications
4.2K citations

University of Minnesota
Minneapolis, United States
6 h-index
8 publications
1.1K citations
University of California San Diego
San Diego, United States
5 h-index
6 publications
1.8K citations

Australian National University
Canberra, Australia
5 h-index
8 publications
2.1K citations
Clemson University
Clemson, United States
5 h-index
7 publications
312 citations
1–8 of 346
32 publications · 7.8K citations
28
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18 publications · 3.8K citations
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JCGS · 9 publications · 340 citations
9
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7 publications · 335 citations
7
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6 publications · 549 citations
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