IDEAS home Printed from
   My bibliography  Save this article

Local likelihood ratio tests in the normal mixture model


  • Wu, Yanhong
  • Xu, Yongxia


The test for homogeneity in the mixture normal model is difficult to study due to the breakdown of the regularity conditions under standard theory. The asymptotic optimality of the likelihood ratio test is questionable and its distributional properties are also difficult to evaluate. In this paper, we consider and compare several tests based on the local likelihood ratio which are shown to be quite competitive compared with the generalized likelihood ratio test.

Suggested Citation

  • Wu, Yanhong & Xu, Yongxia, 2000. "Local likelihood ratio tests in the normal mixture model," Statistics & Probability Letters, Elsevier, vol. 50(4), pages 323-329, December.
  • Handle: RePEc:eee:stapro:v:50:y:2000:i:4:p:323-329

    Download full text from publisher

    File URL:
    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.

    References listed on IDEAS

    1. Lemdani, Mohamed & Pons, Odile, 1997. "Likelihood ratio tests for genetic linkage," Statistics & Probability Letters, Elsevier, vol. 33(1), pages 15-22, April.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Ning, Wei & Zhang, Sanguo & Yu, Chang, 2009. "A moment-based test for the homogeneity in mixture natural exponential family with quadratic variance functions," Statistics & Probability Letters, Elsevier, vol. 79(6), pages 828-834, March.


    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:stapro:v:50:y:2000:i:4:p:323-329. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.