IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v44y2015i9p1958-1966.html
   My bibliography  Save this article

On Second Order Admissibilities in Two-Parameter Logistic Regression Model

Author

Listed:
  • Hidekazu Tanaka
  • Chie Obayashi
  • Yoshiji Takagi

Abstract

In two-parameter family of distribution, conditions for a modified maximum likelihood estimator to be second-order admissible are given. Applying these results to two-parameter logistic regression model, it is shown that the maximum likelihood estimator is always second-order inadmissible and the Rao-Blackwellized minimum logit chi-squared estimator is second-order admissible if and only if the number of the doses is greater than or equal to 6.

Suggested Citation

  • Hidekazu Tanaka & Chie Obayashi & Yoshiji Takagi, 2015. "On Second Order Admissibilities in Two-Parameter Logistic Regression Model," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(9), pages 1958-1966, May.
    • Handle: RePEc:taf:lstaxx:v:44:y:2015:i:9:p:1958-1966
    DOI: 10.1080/03610926.2013.766338
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2013.766338
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2013.766338?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:44:y:2015:i:9:p:1958-1966. 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.