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Significance tests harm progress in forecasting

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  • Armstrong, J. Scott

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  • Armstrong, J. Scott, 2007. "Significance tests harm progress in forecasting," International Journal of Forecasting, Elsevier, vol. 23(2), pages 321-327.
  • Handle: RePEc:eee:intfor:v:23:y:2007:i:2:p:321-327
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    1. Deirdre N. McCloskey & Stephen T. Ziliak, 1996. "The Standard Error of Regressions," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 97-114, March.
    2. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, vol. 16(4), pages 451-476.
    3. Goodwin, Paul & Lawton, Richard, 2003. "Debiasing forecasts: how useful is the unbiasedness test?," International Journal of Forecasting, Elsevier, vol. 19(3), pages 467-475.
    4. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
    5. Koning, Alex J. & Franses, Philip Hans & Hibon, Michele & Stekler, H.O., 2005. "The M3 competition: Statistical tests of the results," International Journal of Forecasting, Elsevier, vol. 21(3), pages 397-409.
    6. Wright, Malcolm & Armstrong, J. Scott, 2007. "Verification of Citations: Fawlty Towers of Knowledge?," MPRA Paper 4149, University Library of Munich, Germany.
    7. Armstrong, J. Scott, 2006. "Findings from evidence-based forecasting: Methods for reducing forecast error," International Journal of Forecasting, Elsevier, vol. 22(3), pages 583-598.
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