An investigation of aggregate variable time series forecast strategies with specific subaggregate time series statistical correlation

By G. Fliedner. 1999

How researchers see this paper

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

1. George Athanasopoulos
2. Rob J Hyndman
3. Han Lin Shang
4. R. Ahmed
5. Fotios Petropoulos
6. Christoph Bergmeir
7. Shanika L. Wickramasuriya
8. Nikolaos Kourentzes

Citations in the corpus

• Optimal combination forecasts for hierarchical time series (2011, background): “Fliedner (1999) also argued that aggregate forecast performance is better with aggregate level data.”
• Hierarchical forecasts for Australian domestic tourism (2009, methodology): “The majority of the literature on hierarchical forecasting has focused on comparing the performance of these two methods with some favouring the top-down approaches (see for example Grunfeld and Griliches, 1960; Fogarty et al., 1990; Narasimhan et al., 1994; Fliedner, 1999) others the bottom-up appr”