Power of edge exclusion tests for graphical log-linear models

Salgueiro, M. Fátima, Smith, Peter W. F. and McDonald, John W. (2006) Power of edge exclusion tests for graphical log-linear models. Journal of Multivariate Analysis, 97, 1691-1701. (doi:10.1016/j.jmva.2005.09.012).


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Asymptotic multivariate normal approximations to the joint distributions of edge exclusion test statistics for saturated graphical log-linear models, with all variables binary, are derived. Non-signed and signed
square-root versions of the likelihood ratio, Wald and score test statistics are considered. Non-central chisquared approximations are also considered for the non-signed versions of the test statistics. Simulation results are used to assess the quality of the proposed approximations. These approximations are used to estimate the overall power of edge exclusion tests. Power calculations are illustrated using data on university

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/j.jmva.2005.09.012
Additional Information: Article in Press
ISSNs: 0047-259X (print)
Related URLs:
Keywords: edge exclusion test, graphical log-linear model, model selection, odds ratio, overall power
Subjects: H Social Sciences > H Social Sciences (General)
J Political Science > JA Political science (General)
H Social Sciences > HV Social pathology. Social and public welfare
H Social Sciences > HA Statistics
Divisions : University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
ePrint ID: 35210
Accepted Date and Publication Date:
Date Deposited: 19 May 2006
Last Modified: 31 Mar 2016 12:02
URI: http://eprints.soton.ac.uk/id/eprint/35210

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