IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v20y1971i3p259-275.html
   My bibliography  Save this article

The Analysis of a 2N Experiment by Means of Ranks

Author

Listed:
  • Peter Macdonald

Abstract

A method is proposed for the analysis of variance of ranked data from a factorial experiment of size 2n which may be replicated or not. A test of the hypothesis that a given linear contrast of means is zero is based on the corresponding contrast of the ranks of the observations in each replicate. An approximate critical region for the test is based on the rank sum test, which is equivalent to the new test under certain null hypotheses. Two other forms of test are also suggested. Estimates of the population contrasts may be obtained by means of an ad hoc procedure for resolving the ambiguity in the mean of the test statistic, together with normalization.

Suggested Citation

  • Peter Macdonald, 1971. "The Analysis of a 2N Experiment by Means of Ranks," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 20(3), pages 259-275, November.
  • Handle: RePEc:bla:jorssc:v:20:y:1971:i:3:p:259-275
    DOI: 10.2307/2346756
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2346756
    Download Restriction: no

    File URL: https://libkey.io/10.2307/2346756?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
    ---><---

    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:bla:jorssc:v:20:y:1971:i:3:p:259-275. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.