IDEAS home Printed from https://ideas.repec.org/a/hin/jnlaaa/951312.html
   My bibliography  Save this article

Nonstationary INAR(1) Process with th-Order Autocorrelation Innovation

Author

Listed:
  • Kaizhi Yu
  • Hong Zou
  • Daimin Shi

Abstract

This paper is concerned with an integer-valued random walk process with q th-order autocorrelation. Some limit distributions of sums about the nonstationary process are obtained. The limit distribution of conditional least squares estimators of the autoregressive coefficient in an auxiliary regression process is derived. The performance of the autoregressive coefficient estimators is assessed through the Monte Carlo simulations.

Suggested Citation

  • Kaizhi Yu & Hong Zou & Daimin Shi, 2013. "Nonstationary INAR(1) Process with th-Order Autocorrelation Innovation," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-10, April.
    • Handle: RePEc:hin:jnlaaa:951312
    DOI: 10.1155/2013/951312
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AAA/2013/951312.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/AAA/2013/951312.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/951312?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
    ---><---

    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:hin:jnlaaa:951312. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.