Automatic forecasting software: A survey and evaluation☆

By Len Tashman, Michael L. Leach. 1991

How researchers see this paper

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

1. Fotios Petropoulos
2. Rob J Hyndman
3. Nikolaos Kourentzes
4. Konstantinos Nikolopoulos
5. Evangelos Spiliotis
6. J. De Gooijer
7. Vassilios Assimakopoulos
8. Spyros Makridakis

Citations in the corpus

• Forecasting at Scale (2018, neutral): “Automatic forecasting has a long history, with many methods tailored to specific types of time series [Tashman and Leach, 1991, De Gooijer and Hynd-man, 2006].”
• 25 Years of IIF Time Series Forecasting: A Selective Review (2005, methodology): “Several software vendors have implemented automated time series forecasting methods (including multivariate methods); see, e.g., Geriner & Ord (1991), Tashman & Leach (1991) and Tashman (2000).”
• 25 years of time series forecasting (2006, methodology): “Several software vendors have implemented automated time series forecasting methods (including multivariate methods); see, e.g., Geriner & Ord (1991), Tashman & Leach (1991) and Tashman (2000).”
• Forecasting: theory and practice (2020, background): “Rycroft (1993) provides an early comparative review of such systems, while many studies strongly support their utilisation over other forecasting alternatives (Tashman and Leach, 1991; Sanders and Manrodt, 2003).”