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The construction of upper confidence bounds on the range of several location parameters following a sequential range test

The construction of upper confidence bounds on the range of several location parameters following a sequential range test
The construction of upper confidence bounds on the range of several location parameters following a sequential range test
This paper considers the construction of an upper confidence bound on the range of a set of p (?2) location parameters following a sequential range test. Although details are given only for the one-way analysis of variance model with known variance, generalisation to other situations is pointed out. This upper confidence bound is useful in assessing the equivalence of all the location parameters. An illustrative example is given
confidence intervals, power function, sequential test
0006-3444
223-226
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a

Liu, Wei (1996) The construction of upper confidence bounds on the range of several location parameters following a sequential range test. Biometrika, 83 (1), 223-226. (doi:10.1093/biomet/83.1.223).

Record type: Article

Abstract

This paper considers the construction of an upper confidence bound on the range of a set of p (?2) location parameters following a sequential range test. Although details are given only for the one-way analysis of variance model with known variance, generalisation to other situations is pointed out. This upper confidence bound is useful in assessing the equivalence of all the location parameters. An illustrative example is given

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Published date: 1996
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Keywords: confidence intervals, power function, sequential test
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 381055
URI: http://eprints.soton.ac.uk/id/eprint/381055
DOI: doi:10.1093/biomet/83.1.223
ISSN: 0006-3444
PURE UUID: a30cbc36-057e-42e3-ae2b-b6ad9d6fb47e
ORCID for Wei Liu: ORCID iD orcid.org/0000-0002-4719-0345

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Date deposited: 24 Sep 2015 10:41
Last modified: 15 Mar 2024 02:43

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Author: Wei Liu ORCID iD

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