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Exact conditional tests for incomplete contingency tables: estimating attained significance levels

Exact conditional tests for incomplete contingency tables: estimating attained significance levels
Exact conditional tests for incomplete contingency tables: estimating attained significance levels
A Monte Carlo exact conditional test of quasi-independence in two-way incomplete contingency tables is proposed. The null distribution of a random table under quasiindependence is derived. This distribution depends only on the counts in the cells of interest and not on the counts in the remaining cells. This result is used to improve the efficiency of a proposed simulate-and-reject Monte Carlo procedure for estimating the attained significance level.
0960-3174
253-256
Smith, Peter W. F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
McDonald, John W.
9adae16e-e1e1-4ddf-bf4c-7231ee8c1c8e
Smith, Peter W. F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
McDonald, John W.
9adae16e-e1e1-4ddf-bf4c-7231ee8c1c8e

Smith, Peter W. F. and McDonald, John W. (1995) Exact conditional tests for incomplete contingency tables: estimating attained significance levels. Statistics and Computing, 5 (3), 253-256. (doi:10.1007/BF00142667).

Record type: Article

Abstract

A Monte Carlo exact conditional test of quasi-independence in two-way incomplete contingency tables is proposed. The null distribution of a random table under quasiindependence is derived. This distribution depends only on the counts in the cells of interest and not on the counts in the remaining cells. This result is used to improve the efficiency of a proposed simulate-and-reject Monte Carlo procedure for estimating the attained significance level.

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Published date: September 1995

Identifiers

Local EPrints ID: 34309
URI: http://eprints.soton.ac.uk/id/eprint/34309
DOI: doi:10.1007/BF00142667
ISSN: 0960-3174
PURE UUID: e83b8de0-cf04-47b5-9f13-542ad041efc2
ORCID for Peter W. F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

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Date deposited: 15 Jan 2008
Last modified: 16 Mar 2024 02:42

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Author: Peter W. F. Smith ORCID iD
Author: John W. McDonald

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