Authors: Wenzel, Thomas
Title: Hits-and-misses for the evaluation and combination of forecasts
Language (ISO): en
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.
Subject Headings: combination of forecasts
fuzzy
hits-and-misses
turning points
URI: http://hdl.handle.net/2003/5031
http://dx.doi.org/10.17877/DE290R-5380
Issue Date: 2000
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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