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


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).

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Original Publication URL: http://dx.doi.org/10.1007/BF00142667

Description/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.

Item Type: Article
ISSNs: 0960-3174 (print)
Related URLs:
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
ePrint ID: 34309
Date Deposited: 15 Jan 2008
Last Modified: 28 Mar 2014 15:26
Research Funder: ESRC
Projects:
Unknown (H519255005)
Funded by: ESRC (H519255005)
UNSPECIFIED to UNSPECIFIED
URI: http://eprints.soton.ac.uk/id/eprint/34309

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