IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v51y2022i9p2765-2782.html
   My bibliography  Save this article

Incorporating a change-point estimator when bootstrapping the empirical distribution of a stationary process

Author

Listed:
  • B. Gail Ivanoff
  • Neville C. Weber

Abstract

The moving block bootstrap can be used to determine critical values for test statistics used to detect a change-point in the marginal distribution of a stationary time series. We examine the impact of incorporating an estimator of the change-point when centering the bootstrap blocks and establish conditions under which the bootstrapped test statistics remain stochastically bounded regardless of whether or not a change is present.

Suggested Citation

  • B. Gail Ivanoff & Neville C. Weber, 2022. "Incorporating a change-point estimator when bootstrapping the empirical distribution of a stationary process," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(9), pages 2765-2782, March.
    • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:9:p:2765-2782
    DOI: 10.1080/03610926.2020.1780260
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2020.1780260
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2020.1780260?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.

    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:taf:lstaxx:v:51:y:2022:i:9:p:2765-2782. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.