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Year of publication
Subject
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accuracy 2 causal forces 2 contrary series 2 damped trends 2 decomposition 2 extrapolation 2 inconsistent trends 2 Business 1 Delphi 1 analytics 1 bias 1 big data 1 causal models 1 combining 1 combining forecasts 1 complexity 1 consistent trends 1 cycles 1 decay forces 1 decision-making 1 discontinuities 1 ethics 1 expert systems 1 exponential smoothing 1 growth forces 1 index method 1 instabilities 1 judgment 1 judgmental bootstrapping 1 judgmental forecasting 1 nowcasting 1 opposing forces 1 outliers 1 regressing forces 1 regression 1 reinforcing series 1 risk 1 shrinkage 1 simplicity 1 start-up series 1
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Online availability
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Free 2
Type of publication
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Book / Working Paper 1 Other 1
Language
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Undetermined 2
Author
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Armstrong, J. Scott 2 Adya, Monica 1 Collopy, Fred 1 Graefe, Andreas 1 Green, Kesten C. 1
Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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MPRA Paper 1
Source
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BASE 1 RePEc 1
Showing 1 - 2 of 2
Cover Image
Golden Rule of Forecasting: Be conservative
Armstrong, J. Scott; Green, Kesten C.; Graefe, Andreas - Volkswirtschaftliche Fakultät, … - 2014
This paper proposes a unifying theory of forecasting in the form of a Golden Rule of Forecasting. The Golden Rule is to be conservative. A conservative forecast is consistent with cumulative knowledge about the present and the past. To be conservative, forecasters must seek all knowledge...
Persistent link: https://www.econbiz.de/10011257908
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Cover Image
Rule-Based Forecasting: Using domain knowledge in time series extrapolation
Armstrong, J. Scott; Adya, Monica; Collopy, Fred - 2001
Rule-Based Forecasting (RBF) is an expert system that uses judgment to develop and apply rules for combining extrapolations. The judgment comes from two sources, forecasting expertise and domain knowledge. Forecasting expertise is based on more than a half century of research. Domain knowledge...
Persistent link: https://www.econbiz.de/10009484509
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