Exponential Smoothing Forecasting is a time series forecasting method that belongs to the class of weighted averaging techniques, distinguished by its use of exponentially decreasing weights for past observations, thereby assigning greater importance to more recent data in generating forecasts.
373
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26.1K
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861
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457
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Publications per year
2017–2026
156
Parents
Publications
373
Exponential smoothing: The state of the art
Everette S. Gardner · Journal of Forecasting · 1985 · 1.4K citations
Business, Meteorology, Forecasting +13
Automatic time series forecasting: the forecast package for R
Rob J. Hyndman, Yeasmin Khandakar · 2017 · 1K citations · Full text
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Authors
861
- JW
9
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- RD
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1–5 of 861
Institutions
457
Monash University
Melbourne, Australia
11 h-index
17 publications
4.7K citations
University of Oxford
Oxford, United Kingdom
11 h-index
12 publications
2.7K citations
Miami University
Oxford, United States
7 h-index
7 publications
1.8K citations
University of Strathclyde
Glasgow, United Kingdom
6 h-index
8 publications
700 citations
Pontifícia Universidade Católica do Rio de Janeiro
Rio de Janeiro, Brazil
5 h-index
11 publications
1.3K citations
Georgetown University
Washington, United States
5 h-index
5 publications
270 citations
Decision Sciences (United States)
Fort Walton Beach, United States
5 h-index
5 publications
1.5K citations
NEOMA Business School
Mont-Saint-Aignan, France
5 h-index
5 publications
441 citations
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Venues
- International Journal of Forecasting
21 publications · 3.1K citations
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- Management Science
16 publications · 1.3K citations
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- Journal of Forecasting
10 publications · 1.8K citations
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- Journal of Physics Conference Series
10 publications · 228 citations
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- SSRN Electronic Journal
Repository · 6 publications · 319 citations
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