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
|Additional Information:||Article in Press|
|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
|Date Deposited:||19 May 2006|
|Last Modified:||06 Aug 2015 02:31|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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