IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v30y1996i2p99-103.html
   My bibliography  Save this article

The algebraic equality of two asymptotic tests for the hypothesis that a normal distribution has a specified correlation matrix

Author

Listed:
  • Neudecker, Heinz
  • Satorra, Albert

Abstract

We proved the algebraic equality between Jennrich's (1970) asymptotic [chi]2 test for equality of correlation matrices, and a Wald test statistic derived from the Neudecker and Wesselman (1990) expression of the asymptotic variance matrix of the sample correlation matrix.

Suggested Citation

  • Neudecker, Heinz & Satorra, Albert, 1996. "The algebraic equality of two asymptotic tests for the hypothesis that a normal distribution has a specified correlation matrix," Statistics & Probability Letters, Elsevier, vol. 30(2), pages 99-103, October.
  • Handle: RePEc:eee:stapro:v:30:y:1996:i:2:p:99-103
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-7152(95)00206-5
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kollo, T. & Neudecker, H., 1993. "Asymptotics of Eigenvalues and Unit-Length Eigenvectors of Sample Variance and Correlation Matrices," Journal of Multivariate Analysis, Elsevier, vol. 47(2), pages 283-300, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Satorra, Albert & Neudecker, Heinz, 1997. "Compact Matrix Expressions for Generalized Wald Tests of Equality of Moment Vectors, ," Journal of Multivariate Analysis, Elsevier, vol. 63(2), pages 259-276, November.
    2. Kentaro Hayashi & Akihito Kamata, 2005. "A note on the estimator of the alpha coefficient for standardized variables under normality," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 579-586, September.

    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:stapro:v:30:y:1996:i:2:p:99-103. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.