IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v6y1990i4p485-495.html
   My bibliography  Save this article

Time-series decomposition using the sinusoidal model

Author

Listed:
  • Simmons, L. F.

Abstract

No abstract is available for this item.

Suggested Citation

  • Simmons, L. F., 1990. "Time-series decomposition using the sinusoidal model," International Journal of Forecasting, Elsevier, vol. 6(4), pages 485-495, December.
    • Handle: RePEc:eee:intfor:v:6:y:1990:i:4:p:485-495
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0169-2070(90)90025-7
    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. 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.
    2. Norbert Bokros & Joseph Woomer & Zoe Schroeder & Bharath Kunduru & Manwinder S. Brar & Will Seegmiller & Jozsef Stork & Christopher McMahan & Daniel J. Robertson & Rajandeep S. Sekhon & Seth DeBolt, 2024. "Sorghum bicolor L. Stalk Stiffness Is Marginally Affected by Time of Day under Field Conditions," Agriculture, MDPI, vol. 14(6), pages 1-14, June.
    3. Tobias Michael Erhardt & Claudia Czado & Ulf Schepsmeier, 2015. "R-vine models for spatial time series with an application to daily mean temperature," Biometrics, The International Biometric Society, vol. 71(2), pages 323-332, June.
    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. Mergani A. Khairalla & Xu Ning & Nashat T. AL-Jallad & Musaab O. El-Faroug, 2018. "Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model," Energies, MDPI, vol. 11(6), pages 1-21, June.

    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:6:y:1990:i:4:p:485-495. 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.