IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v46y2017i11p5544-5555.html
   My bibliography  Save this article

The discrepancy of P-values and posterior probability: Two-sided hypothesis of variance of normal distribution with unknown mean

Author

Listed:
  • Rahim Chinipardaz
  • Behzad Falahifard
  • Mohammad Reza Akhoond

Abstract

This article is concerned with the comparison of P-value and Bayesian measure in point null hypothesis for the variance of Normal distribution with unknown mean. First, using fixed prior for test parameter, the posterior probability is obtained and compared with the P-value when an appropriate prior is used for the mean parameter. In the second, lower bounds of the posterior probability of H0 under a reasonable class of prior are compared with the P-value. It has been shown that even in the presence of nuisance parameters, these two approaches can lead to different results in the statistical inference.

Suggested Citation

  • Rahim Chinipardaz & Behzad Falahifard & Mohammad Reza Akhoond, 2017. "The discrepancy of P-values and posterior probability: Two-sided hypothesis of variance of normal distribution with unknown mean," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(11), pages 5544-5555, June.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:11:p:5544-5555
    DOI: 10.1080/03610926.2015.1105978
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2015.1105978
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2015.1105978?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:46:y:2017:i:11:p:5544-5555. 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.