Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77272
Authors: 
Wenzel, Thomas
Year of Publication: 
2000
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2000,26
Abstract: 
Error measures for the evaluation of forecasts are usually based on the size of the forecast errors. Common measures are e.g. the Mean Squared Error (MSE), the Mean Absolute Deviation (MAD) or the Mean Absolute Percentage Error (MAPE). Alternative measures for the comparison of forecasts are turning points or hits-and-misses, where an indicator loss function is used to decide, if a forecast is of high quality or not. Here, we discuss the latter to obtain reliable combined forecasts.
Subjects: 
Combination of forecasts
hits-and-misses
turning points
fuzzy
Document Type: 
Working Paper

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