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Forecasting Principles

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International Encyclopedia of Statistical Science

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References and Further Reading

  • Armstrong JS (1985) Long-range forecasting. Wiley, New York

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  • Armstrong JS (2006) Findings from evidence-based forecasting: methods for reducing forecast error. Int J Forecasting 22: 583–598

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  • Armstrong JS (2001a) Judgmental bootstrapping: inferring experts’ rules for forecasting. In: Armstrong JS (ed) Principles of forecasting, Kluwer, Boston, pp 171–192

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  • Armstrong JS (2001b) Extrapolation for time-series and cross-sectional data. In: Armstrong JS (ed) Principles of forecasting, Kluwer, Boston, pp 217–243

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  • Armstrong JS (2001c) Combining forecasts. In: Armstrong JS (ed) Principles of forecasting, Kluwer, Boston, pp 417–440

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  • Collopy F, Armstrong JS (1992) Rule-based forecasting: development and validation of an expert systems approach to combining time-series extrapolations. Manage Sci 38:1394–1414

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  • Collopy F, Adya M, Armstrong JS (2001) Expert systems for forecasting. In: Armstrong JS (ed) Principles of forecasting, Kluwer, Boston, pp 285–300

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  • Green KC (2005) Game theory, simulated interaction, and unaided judgement for forecasting decisions in conicts: further evidence. Int J Forecasting 21:463–472

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  • Green KC, Armstrong JS (2007) Structured analogies for forecasting. Int J Forecasting 23:365–376

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  • Green KC, Armstrong JS, Graefe A (2007) Methods to elicit forecasts from groups: Delphi and prediction markets compared. Foresight Int J Appl Forecasting 8:17–20

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  • MacGregor DG (2001) Decomposition in judgmental forecasting and estimation. In: Armstrong JS (ed) Principles of forecasting, Kluwer, Boston, pp 107–124

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  • Makridakis S, Hibon M (2000) The M-3 competition: results, conclusions and implications. Int J Forecasting 16:451–476

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  • Makridakis S, Andersen S, Carbone R, Fildes R, Hibon M, Lewandowski R, Newton J, Parzen E, Winkler R (1982) The accuracy of extrapolation (time series) methods: results of a forecasting competition. J Forecasting 1:111–153

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  • Rowe G, Wright G (2001) Expert opinions in forecasting: the role of the Delphi technique. In: Armstrong JS (ed) Principles of forecasting, Kluwer, Boston, pp 125–144

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Author information

Authors and Affiliations

  1. University of South Australia, Adelaide, SA, Australia

    Kesten C. Green (Associate Professor)

  2. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Andreas Graefe

  3. University of Pennsylvania, PA 19104, Philadelphia, PA, USA

    J. Scott Armstrong (Professor of Marketing)

Authors
  1. Kesten C. Green
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  2. Andreas Graefe
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  3. J. Scott Armstrong
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Editor information

Editors and Affiliations

  1. Department of Statistics and Informatics, Faculty of Economics, University of Kragujevac, City of Kragujevac, Serbia

    Miodrag Lovric

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© 2011 Springer-Verlag Berlin Heidelberg

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Green, K.C., Graefe, A., Armstrong, J.S. (2011). Forecasting Principles. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_257

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