On step-up tests for comparing several treatments


Liu, W. (1997) On step-up tests for comparing several treatments. Statistica Sinica, 7, (4), 957-972.

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Description/Abstract

Consider a one-way layout in which independent observations Xi have distributions F(x-ui) with ui unknown, 1<=i<=k. The basic problem is to test the family of subset hypotheses about ui. The step-up test scheme of Welsch (1977) is studied in detail. A general result is given on how to determine the critical values so that the type I familywise error rate is strongly controlled at a preassigned level α, and a particular set of critical values is recommended. The interrelationship between the step-up tests and the closed tests of Marcus, Peritz and Gabriel (1976) is illuminated. This enables us to construct a closed test which is uniformly more powerful than a step-up test. Monte Carlo simulation is carried out to compare the power of the two new tests with that of Welsch's (1977) test and several other multiple tests. The two new tests turn out to be preferable. The one-way ANOVA setting is given special attention, and the critical values of the new step-up test are tabulated.

Item Type: Article
Related URLs:
Subjects: Q Science > QA Mathematics
H Social Sciences > HA Statistics
Divisions: University Structure - Pre August 2011 > School of Mathematics > Statistics
ePrint ID: 30086
Date Deposited: 13 Mar 2007
Last Modified: 27 Mar 2014 18:18
URI: http://eprints.soton.ac.uk/id/eprint/30086

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