IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v5y1989i4p529-535.html
   My bibliography  Save this article

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

Author

Listed:
  • Flores, Benito E.

Abstract

No abstract is available for this item.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0169-2070(89)90008-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:5:y:1989:i:4:p:529-535. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.