Robust forecasting with exponential and holt-winters smoothing

By Sarah Gelper, Roland Fried, Christophe Croux. 2009

328 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fb07c8b50c3ff8e7f50582ca0896cafcef00dfff

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Jingqi Zhang
2. Guofeng Cao
3. Naizhuo Zhao
4. Eric L. Samson
5. Ying Liu

In Statistics and Probability

1. O. Ostertag
2. E. Ostertagová
3. Jingqi Zhang
4. Guofeng Cao
5. Naizhuo Zhao
6. Eric L. Samson
7. Ying Liu

Citations in the corpus

• FORECASTING USING SIMPLE EXPONENTIAL SMOOTHING METHOD (2012, background): “Keywords: time series, simple exponential smoothing model, forecast, smoothing constant, root mean square error”
• Forecasting China’s GDP at the pixel level using nighttime lights time series and population images (2017, methodology): “The Holt–Winters smoothing is also referred to as double exponential smoothing (Gelper, Fried, and Croux 2010).”