Simple Exponential Smoothing
Simple Exponential Smoothing is a time series forecasting method that belongs to the class of exponential smoothing techniques, distinguished by its use of a single smoothing parameter to exponentially weighted past observations for estimating the level component in data without trend or seasonal patterns.
83
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4.9K
Citations
219
Authors
144
Institutions
Publications per year
2017–2026
41
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A Comparison of ARIMA and LSTM in Forecasting Time Series
Sima Siami‐Namini, Neda Tavakoli, Akbar Siami Namin · 2018 · 1.2K citations
Forecasting and Time Series: An Applied Approach
Eric R. Ziegel · Technometrics · 1994 · 324 citations
1–5 of 83
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Shahjalal University of Science and Technology, Bangladesh
2 publications · 108 citations
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144
Purdue University West Lafayette
West Lafayette, United States
4 h-index
5 publications
164 citations
Texas Tech University
Lubbock, United States
3 h-index
4 publications
2.5K citations

Universidade Federal de Pernambuco
Recife, Brazil
2 h-index
4 publications
58 citations
Shahjalal University of Science and Technology
Sylhet, Bangladesh
2 h-index
4 publications
216 citations

Universitas Gadjah Mada
Yogyakarta, Indonesia
2 h-index
4 publications
58 citations

Monash University
Melbourne, Australia
2 h-index
2 publications
37 citations
Cardiff University
Cardiff, United Kingdom
2 h-index
2 publications
129 citations
Miami University
Oxford, United States
2 h-index
2 publications
94 citations
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3 publications · 96 citations
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3 publications · 213 citations
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3 publications · 131 citations
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2 publications · 61 citations
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OR · 2 publications · 37 citations
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