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Statistical significance tests are unnecessary even when properly done and properly interpreted: Reply to commentaries

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  • Armstrong, J. Scott

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  • Armstrong, J. Scott, 2007. "Statistical significance tests are unnecessary even when properly done and properly interpreted: Reply to commentaries," International Journal of Forecasting, Elsevier, vol. 23(2), pages 335-336.
  • Handle: RePEc:eee:intfor:v:23:y:2007:i:2:p:335-336
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    Cited by:

    1. Nikolopoulos, Konstantinos & Litsa, Akrivi & Petropoulos, Fotios & Bougioukos, Vasileios & Khammash, Marwan, 2015. "Relative performance of methods for forecasting special events," Journal of Business Research, Elsevier, vol. 68(8), pages 1785-1791.
    2. Crone, Sven F. & Hibon, Michèle & Nikolopoulos, Konstantinos, 2011. "Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 635-660.
    3. Stekler, H.O., 2007. "Significance tests harm progress in forecasting: Comment," International Journal of Forecasting, Elsevier, vol. 23(2), pages 329-330.
    4. repec:spr:cejnor:v:26:y:2018:i:1:d:10.1007_s10100-017-0484-9 is not listed on IDEAS
    5. Savio, Nicolas D. & Nikolopoulos, Konstantinos, 2013. "A strategic forecasting framework for governmental decision-making and planning," International Journal of Forecasting, Elsevier, vol. 29(2), pages 311-321.

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