IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v32y2005i4p409-419.html
   My bibliography  Save this article

Testing hypotheses on coefficients of variation from a series of two-armed experiments

Author

Listed:
  • Dogan Argac

Abstract

We consider the problem of testing hypotheses on the difference of the coefficients of variation from several two-armed experiments with normally distributed outcomes. In particular, we deal with testing the homogeneity of the difference of the coefficients of variation and testing the equality of the difference of the coefficients of variation to a specified value. The test statistics proposed are derived in a limiting one-way classification with fixed effects and heteroscedastic error variances, using results from analysis of variance. By way of simulation, the performance of these test statistics is compared for both testing problems considered.

Suggested Citation

  • Dogan Argac, 2005. "Testing hypotheses on coefficients of variation from a series of two-armed experiments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(4), pages 409-419.
    • Handle: RePEc:taf:japsta:v:32:y:2005:i:4:p:409-419
    DOI: 10.1080/02664760500079225
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/02664760500079225
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664760500079225?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.

    Citations

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


    Cited by:

    1. Jose Dias Curto & Jose Castro Pinto, 2009. "The coefficient of variation asymptotic distribution in the case of non-iid random variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 21-32.

    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:japsta:v:32:y:2005:i:4:p:409-419. 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/CJAS20 .

    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.