IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v22y2006i4p799-818.html
   My bibliography  Save this article

Stable seasonal pattern models for forecast revision: A comparative study

Author

Listed:
  • Yelland, Phillip M.

Abstract

No abstract is available for this item.

Suggested Citation

  • Yelland, Phillip M., 2006. "Stable seasonal pattern models for forecast revision: A comparative study," International Journal of Forecasting, Elsevier, vol. 22(4), pages 799-818.
    • Handle: RePEc:eee:intfor:v:22:y:2006:i:4:p:799-818
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169-2070(06)00052-5
    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.

    References listed on IDEAS

    as
    1. Sang Hoon Chang & David E. Fyffe, 1971. "Estimation of Forecast Errors for Seasonal-Style-Goods Sales," Management Science, INFORMS, vol. 18(2), pages 89-96, October.
    2. Victor M. Guerrero & J. Alan Elizondo, 1997. "Forecasting a Cumulative Variable Using Its Partially Accumulated Data," Management Science, INFORMS, vol. 43(6), pages 879-889, June.
    3. de Alba, Enrique & Mendoza, Manuel, 2001. "Forecasting an Accumulated Series Based on Partial Accumulation: A Bayesian Method for Short Series with Seasonal Patterns," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 95-102, January.
    4. Oliver, Robert M, 1987. "Bayesian Forecasting with Stable Seasonal Patterns," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(1), pages 77-85, January.
    5. 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.
    6. Chen, Rong & Fomby, Thomas B, 1999. "Forecasting with Stable Seasonal Pattern Models with an Application to Hawaiian Tourism Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 497-504, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Fildes, Robert & Goodwin, Paul & Lawrence, Michael & Nikolopoulos, Konstantinos, 2009. "Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning," International Journal of Forecasting, Elsevier, vol. 25(1), pages 3-23.
    2. Kolias, Georgios D. & Dimelis, Sophia P. & Filios, Vasilios P., 2011. "An empirical analysis of inventory turnover behaviour in Greek retail sector: 2000-2005," International Journal of Production Economics, Elsevier, vol. 133(1), pages 143-153, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mendoza, Manuel & de Alba, Enrique, 2006. "Forecasting an accumulated series based on partial accumulation II: A new Bayesian method for short series with stable seasonal patterns," International Journal of Forecasting, Elsevier, vol. 22(4), pages 781-798.
    2. Haberleitner, Helmut & Meyr, Herbert & Taudes, Alfred, 2010. "Implementation of a demand planning system using advance order information," International Journal of Production Economics, Elsevier, vol. 128(2), pages 518-526, December.
    3. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    4. Kumar, V. & Sunder, Sarang & Sharma, Amalesh, 2015. "Leveraging Distribution to Maximize Firm Performance in Emerging Markets," Journal of Retailing, Elsevier, vol. 91(4), pages 627-643.
    5. Hu, Xincheng & Banks, Jonathan & Wu, Linping & Liu, Wei Victor, 2020. "Numerical modeling of a coaxial borehole heat exchanger to exploit geothermal energy from abandoned petroleum wells in Hinton, Alberta," Renewable Energy, Elsevier, vol. 148(C), pages 1110-1123.
    6. Garcia-Ferrer, Antonio & Bujosa-Brun, Marcos, 2000. "Forecasting OECD industrial turning points using unobserved components models with business survey data," International Journal of Forecasting, Elsevier, vol. 16(2), pages 207-227.
    7. Paroissien, Emmanuel, 2020. "Forecasting bulk prices of Bordeaux wines using leading indicators," International Journal of Forecasting, Elsevier, vol. 36(2), pages 292-309.
    8. Barrow, Devon K., 2016. "Forecasting intraday call arrivals using the seasonal moving average method," Journal of Business Research, Elsevier, vol. 69(12), pages 6088-6096.
    9. Fildes, Robert & Goodwin, Paul & Lawrence, Michael & Nikolopoulos, Konstantinos, 2009. "Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning," International Journal of Forecasting, Elsevier, vol. 25(1), pages 3-23.
    10. Kumar, V. & Leone, Robert P. & Gaskins, John N., 1995. "Aggregate and disaggregate sector forecasting using consumer confidence measures," International Journal of Forecasting, Elsevier, vol. 11(3), pages 361-377, September.
    11. Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
    12. Bontempi, Gianluca & Ben Taieb, Souhaib, 2011. "Conditionally dependent strategies for multiple-step-ahead prediction in local learning," International Journal of Forecasting, Elsevier, vol. 27(3), pages 689-699, July.
    13. Bhatti, Muhammad Tousif & Anwar, Arif A. & Ali Shah, Muhammad Azeem, 2019. "Revisiting telemetry in Pakistan’s Indus Basin Irrigation System," Papers published in Journals (Open Access), International Water Management Institute, pages 11(11):1-20.
    14. Edward J. Lusk, 2019. "Time Series Forecasting in Stock Trading Markets: The Turning Point Curiosity," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(4), pages 01-16, July.
    15. Schneider, Matthew J. & Gupta, Sachin, 2016. "Forecasting sales of new and existing products using consumer reviews: A random projections approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 243-256.
    16. Garcia-Ferrer, Antonio & Queralt, Ricardo A., 1997. "A note on forecasting international tourism demand in Spain," International Journal of Forecasting, Elsevier, vol. 13(4), pages 539-549, December.
    17. Sen, Alper & Zhang, Alex X., 2009. "Style goods pricing with demand learning," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1058-1075, August.
    18. Blaskowitz, Oliver & Herwartz, Helmut, 2011. "On economic evaluation of directional forecasts," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1058-1065, October.
    19. 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.
    20. Dean W. Wichern & Benito E. Flores, 2005. "Evaluating forecasts: a look at aggregate bias and accuracy measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(6), pages 433-451.

    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:22:y:2006:i:4:p:799-818. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.