Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

Distribution-Free Tests for Ordered Alternatives in a Randomized Block Design

John H. Skillings and Douglas A. Wolfe
Journal of the American Statistical Association
Vol. 73, No. 362 (Jun., 1978), pp. 427-431
DOI: 10.2307/2286678
Stable URL: http://www.jstor.org/stable/2286678
Page Count: 5
  • Download ($14.00)
  • Cite this Item
Distribution-Free Tests for Ordered Alternatives in a Randomized Block Design
Preview not available

Abstract

In this article we consider a class of test statistics that are useful for testing against ordered alternatives in balanced or unbalanced block designs. The approach consists of forming a statistic on each block and then combining the block statistics as a weighted sum to obtain one overall test statistic. Large-sample properties such as asymptotic normality and asymptotic relative efficiency as the number of blocks tends to infinity are considered. Throughout the article special attention is given to a Jonckheere-type statistic. Some consideration is given to the selection of the optimal weighting constants for the Jonckheere statistic.

Page Thumbnails

  • Thumbnail: Page 
427
    427
  • Thumbnail: Page 
428
    428
  • Thumbnail: Page 
429
    429
  • Thumbnail: Page 
430
    430
  • Thumbnail: Page 
431
    431