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On step-up tests for comparing several treatments

On step-up tests for comparing several treatments
On step-up tests for comparing several treatments
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 ?, 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.
1017-0405
957-972
Liu, W.
b64150aa-d935-4209-804d-24c1b97e024a
Liu, W.
b64150aa-d935-4209-804d-24c1b97e024a

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

Record type: Article

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 ?, 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.

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More information

Published date: 1997
Organisations: Statistics, Mathematical Sciences

Identifiers

Local EPrints ID: 30086
URI: http://eprints.soton.ac.uk/id/eprint/30086
ISSN: 1017-0405
PURE UUID: efe5416c-374c-41e0-8311-4e3eb345ba99
ORCID for W. Liu: ORCID iD orcid.org/0000-0002-4719-0345

Catalogue record

Date deposited: 13 Mar 2007
Last modified: 09 Jan 2022 02:41

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