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Golden rule of forecasting: Be conservative · Study

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ArticleGolden rule of forecasting: Be conservative

J. Scott Armstrong2015

OA

Articlegreen2015

Golden rule of forecasting: Be conservative

J. Scott Armstrong · Kesten C. Green · Andreas Graefe

169 citations·0/0 files stored·Journal of Business Research

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Forecasting Techniques and Applications Decision-Making and Behavioral Economics Innovation Diffusion and Forecasting

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References

1989Combining forecasts: A review and annotated bibliography 2000The M3-Competition: results, conclusions and implications 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition 1985Exponential smoothing: The state of the art 1992Error measures for generalizing about forecasting methods: Empirical comparisons 2001Principles of Forecasting 1965The Method of Multiple Working Hypotheses 2006Exponential smoothing: The state of the art—Part II

Cited by

2018The human factor in supply chain forecasting: A systematic review 2019From Data to Causes II: Comparing Approaches to Panel Data Analysis 2018Integrating human judgement into quantitative forecasting methods: A review 2015Simple versus complex selection rules for forecasting many time series 2020Economic growth and environmental degradation: evidence from the US case environmental Kuznets curve hypothesis with application of decomposition 2021

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Details

Year2015

Typearticle

Published2015-04-17

VenueJournal of Business Research

ISSN-L0148-2963

Languageen

Citations169

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.jbusres.2015.03.031

openalex_workW1517631041

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A survey of human judgement and quantitative forecasting methods

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