IDEAS home Printed from https://ideas.repec.org/a/eee/jmvana/v54y1995i1p126-146.html
   My bibliography  Save this article

Score Tests for Fixed Effects and Overdispersion Components in Nonlinear Models for Repeated Measures

Author

Listed:
  • Das, K.
  • Sutradhar, B. C.

Abstract

A general nonlinear regression model for repeated measures data is considered. Neyman's [16] partial score tests are derived for the significance of regression parameters as well as overdispersion components of the model. Neyman's score test is asymptotically locally optimal, and the test statistic has asymptotically [chi]2 distribution under the null hypothesis, with m degrees of freedom, where m is the number of independent restrictions over the parameters, specified under the null hypothesis. The test for the regression parameters is illustrated by a numerical example.

Suggested Citation

  • Das, K. & Sutradhar, B. C., 1995. "Score Tests for Fixed Effects and Overdispersion Components in Nonlinear Models for Repeated Measures," Journal of Multivariate Analysis, Elsevier, vol. 54(1), pages 126-146, July.
    • Handle: RePEc:eee:jmvana:v:54:y:1995:i:1:p:126-146
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047-259X(85)71048-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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:eee:jmvana:v:54:y:1995:i:1:p:126-146. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.