IDEAS home Printed from https://ideas.repec.org/a/spr/aistmt/v56y2004i4p611-630.html
   My bibliography  Save this article

Spectral density estimation with amplitude modulation and outlier detection

Author

Listed:
  • Jiancheng Jiang
  • Y. Hui

Abstract

No abstract is available for this item.

Suggested Citation

  • Jiancheng Jiang & Y. Hui, 2004. "Spectral density estimation with amplitude modulation and outlier detection," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 56(4), pages 611-630, December.
    • Handle: RePEc:spr:aistmt:v:56:y:2004:i:4:p:611-630
    DOI: 10.1007/BF02506479
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02506479
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02506479?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Sam Efromovich, 2020. "Missing not at random and the nonparametric estimation of the spectral density," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 652-675, September.
    2. A. Elhassanein, 2014. "On the theory of continuous time series," Indian Journal of Pure and Applied Mathematics, Springer, vol. 45(3), pages 297-310, June.
    3. Efromovich, Sam, 2014. "Nonparametric estimation of the spectral density of amplitude-modulated time series with missing observations," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 7-13.
    4. Pierre Perron & Eduardo Zorita & Arthur P. Guillaumin & Adam M. Sykulski & Sofia C. Olhede & Jeffrey J. Early & Jonathan M. Lilly, 2017. "Analysis of Non-Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(5), pages 668-710, September.
    5. Sam Efromovich, 2014. "Efficient Non-Parametric Estimation Of The Spectral Density In The Presence Of Missing Observations," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(5), pages 407-427, August.

    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:spr:aistmt:v:56:y:2004:i:4:p:611-630. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.