You are not currently logged in.
Access JSTOR through your library or other 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
Stable URL: http://www.jstor.org/stable/2286678
Page Count: 5
You can always find the topics here!Topics: Statistics, Statistical theories, Infinity, Mathematical expressions, Gaussian distributions, Term weighting, Distribution functions, Sample size, Rank tests
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Preview not available
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.
Journal of the American Statistical Association © 1978 American Statistical Association