SHOULD AGGREGATION PRIOR TO ESTIMATION BE THE RULE

By J. Edwards, G. Orcutt. 1969

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. T. L. DeChaine
7. D. M. Dunn
8. W. H. Williams

Citations in the corpus

• Optimal combination forecasts for hierarchical time series (2011, background): “On the other hand, Orcutt et al. (1968) and Edwards & Orcutt (1969) argued that information loss is substantial in aggregation and therefore the bottom-up method gives more accurate forecasts.”
• Aggregate Versus Subaggregate Models in Local Area Forecasting (1976, background): “Later, Edwards and Orcutt [7] and Orcutt, Watts and Edwards [12] argued that loss due to aggregation could be great and generally supported disaggregated models.”
• Hierarchical forecasts for Australian domestic tourism (2009, methodology): “…1960; Fogarty et al., 1990; Narasimhan et al., 1994; Fliedner, 1999) others the bottom-up approaches (see for example Orcutt et al., 1968; Edwards and Orcutt, 1969; Kinney, 1971; Dangerfield and Morris, 1992; Zellner and Tobias, 2000) and some finding either method to be uniformly…”