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The utilization of the Wilcoxon test to compare forecasting methods: A note

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  • Flores, Benito E.

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  • Flores, Benito E., 1989. "The utilization of the Wilcoxon test to compare forecasting methods: A note," International Journal of Forecasting, Elsevier, vol. 5(4), pages 529-535.
    • Handle: RePEc:eee:intfor:v:5:y:1989:i:4:p:529-535
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    1. Md. Iftekharul Alam Efat & Petr Hajek & Mohammad Zoynul Abedin & Rahat Uddin Azad & Md. Al Jaber & Shuvra Aditya & Mohammad Kabir Hassan, 2024. "Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales," Annals of Operations Research, Springer, vol. 339(1), pages 297-328, August.
    2. Franses, Philip Hans & Kleibergen, Frank, 1996. "Unit roots in the Nelson-Plosser data: Do they matter for forecasting?," International Journal of Forecasting, Elsevier, vol. 12(2), pages 283-288, June.
    3. Snezhana Gocheva-Ilieva & Atanas Ivanov & Maya Stoimenova-Minova, 2022. "Prediction of Daily Mean PM 10 Concentrations Using Random Forest, CART Ensemble and Bagging Stacked by MARS," Sustainability, MDPI, vol. 14(2), pages 1-26, January.
    4. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    5. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    6. Snezhana Gocheva-Ilieva & Antoaneta Yordanova & Hristina Kulina, 2022. "Predicting the 305-Day Milk Yield of Holstein-Friesian Cows Depending on the Conformation Traits and Farm Using Simplified Selective Ensembles," Mathematics, MDPI, vol. 10(8), pages 1-20, April.
    7. Thomas Wenzel, 2001. "Hits-and-misses for the evaluation and combination of forecasts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 759-773.
    8. Wenzel, Thomas, 2000. "Hits-and-misses for the evaluation and combination of forecasts," Technical Reports 2000,26, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    9. Benevento, Elisabetta & Aloini, Davide & Squicciarini, Nunzia, 2023. "Towards a real-time prediction of waiting times in emergency departments: A comparative analysis of machine learning techniques," International Journal of Forecasting, Elsevier, vol. 39(1), pages 192-208.

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