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Error measures for generalizing about forecasting methods: Empirical comparisons

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Author Info
Armstrong, J. Scott
Collopy, Fred

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File URL: http://www.sciencedirect.com/science/article/B6V92-45P4GTG-68/2/cb03ee07c0c7708e3b4f7409c8dbe9a6
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Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 8 (1992)
Issue (Month): 1 (June)
Pages: 69-80
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Handle: RePEc:eee:intfor:v:8:y:1992:i:1:p:69-80

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Web page: http://www.elsevier.com/locate/ijforecast

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  1. David E. Bloom & David Canning & Günther Fink & Jocelyn E. Finlay, 2007. "Does Age Structure Forecast Economic Growth?," NBER Working Papers 13221, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  2. JS Armstrong & Fred Collopy, 2004. "Causal Forces: Structuring Knowledge for Time-series Extrapolation," General Economics and Teaching 0412003, EconWPA. [Downloadable!]
  3. Madden, Gary G & Coble-Neal, Grant, 2004. "Internet traffic dynamics," MPRA Paper 10827, University Library of Munich, Germany. [Downloadable!]
  4. Stefan Rayer, 2007. "Population forecast accuracy: does the choice of summary measure of error matter?," Population Research and Policy Review, Springer, vol. 26(2), pages 163-184, April. [Downloadable!] (restricted)
  5. Malmberg, Bo & Lindh, Thomas, 2004. "Demographically based global income forecasts up to the year 2050," Arbetsrapport 2004:7, Institute for Futures Studies. [Downloadable!]
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  6. Héctor Mauricio Nuñez Amortegui, 2005. "Una evaluación de los pronósticos de inflación en Colombia bajo el esquema de inflación objetivo," REVISTA DE ECONOMÍA DEL ROSARIO, UNIVERSIDAD DEL ROSARIO - FACULTAD DE ECONOMÍA. [Downloadable!]
  7. Bharat Barot, 2005. "How Accurate Are The Swedish Forecasters On Gdp-Growth,Cpi- Inflation And Unemployment? (1993-2001)," Macroeconomics 0510017, EconWPA. [Downloadable!]
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  8. Goodwin, Paul, 2000. "Correct or combine? Mechanically integrating judgmental forecasts with statistical methods," International Journal of Forecasting, Elsevier, vol. 16(2), pages 261-275. [Downloadable!] (restricted)
  9. Johannes Schmidt & Sylvain Leduc & Erik Dotzauer & Georg Kindermann & Erwin Schmid, 2009. "Using Monte Carlo Simulation to Account for Uncertainties in the Spatial Explicit Modeling of Biomass Fired Combined Heat and Power Potentials in Austria," Working Papers 432009, Institute for Sustainable Economic Development, Department of Economics and Social Sciences, University of Natural Resources and Applied Life Sciences, Vienna. [Downloadable!]
  10. Madden, Gary G & Tan, Joachim, 2007. "Forecasting telecommunications data with linear models," MPRA Paper 14739, University Library of Munich, Germany. [Downloadable!]
  11. Christina Erlwein & Rogemar Mamon, 2009. "An online estimation scheme for a Hull–White model with HMM-driven parameters," Statistical Methods and Applications, Springer, vol. 18(1), pages 87-107, March. [Downloadable!] (restricted)
  12. Hyndman, R.J. & Koehler, A.B. & Snyder, R.D. & Grose, S., 2000. "A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods," Monash Econometrics and Business Statistics Working Papers 9/2000, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
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  13. Souza, Leonardo Rocha & Soares, Lacir Jorge, 2003. "Forecasting Electricity Load Demand: Analysis of the 2001 Rationing Period in Brazil," Economics Working Papers (Ensaios Economicos da EPGE) 491, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
  14. Fred Collopy & JS Armstrong, 2004. "Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations," General Economics and Teaching 0412004, EconWPA. [Downloadable!]
  15. J. S. Armstrong, 2005. "Decomposition by Causal Forces: A Procedure for Forecasting Complex Time Series," General Economics and Teaching 0502015, EconWPA. [Downloadable!]
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  16. Soares, Lacir Jorge & Souza, Leonardo Rocha, 2003. "Forecasting Electricity Demand Using Generalized Long Memory," Economics Working Papers (Ensaios Economicos da EPGE) 486, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
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  17. Madden, Gary G & Tan, Joachim, 2008. "Forecasting international bandwidth capacity using linear and ANN methods," MPRA Paper 13005, University Library of Munich, Germany. [Downloadable!]
  18. Madden, Gary G & Coble-Neal, Grant, 2005. "Forecasting international bandwidth capability," MPRA Paper 10822, University Library of Munich, Germany. [Downloadable!]
  19. J. S. Armstrong & R. Brodie, 2005. "Forecasting for Marketing," General Economics and Teaching 0502018, EconWPA. [Downloadable!]
  20. J. Scott Armstrong & Kesten C. Green, 2005. "Demand Forecasting: Evidence-based Methods," Monash Econometrics and Business Statistics Working Papers 24/05, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
  21. Wagatha, Matthias, 2007. "Integration, Kointegration und die Langzeitprognose von Kreditausfallzyklen
    [Integration, Cointegration and Long-Horizont Forecasting of Credit-Default-Cycles]    ," MPRA Paper 8602, University Library of Munich, Germany. [Downloadable!]
  22. Rob J. Hyndman & Anne B. Koehler, 2005. "Another Look at Measures of Forecast Accuracy," Monash Econometrics and Business Statistics Working Papers 13/05, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
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  23. JS Armstrong & Robert Fildes, 2004. "Correspondence On the Selection of Error Measures for Comparisons Among Forecasting Methods," General Economics and Teaching 0412002, EconWPA. [Downloadable!]
  24. Fildes, Robert & Madden, Gary & Tan, Joachim, 2007. "Optimal forecasting model selection and data characteristics," MPRA Paper 10819, University Library of Munich, Germany. [Downloadable!]
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