Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/77312 
Authors: 
Year of Publication: 
1999
Series/Report no.: 
Technical Report No. 1999,50
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
Most of the literature on combination of forecasts deals with the assumption of unbiased individual forecasts. Here, we consider the case of biased forecasts and discuss two different combination techniques resulting in an unbiased forecast. On the one hand we correct the individual forecasts, and on the other we calculate bias based weights. A simulation study gives some insight in the situations where we should use the different methods.
Subjects: 
combination of forecasts
bias correction
regression
generalized Jackknife
multivariate forecasts
Document Type: 
Working Paper

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