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, pp. 1691-1701. (doi:10.1016/j.jmva.2005.09.012).

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Description/Abstract

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 admissions.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/j.jmva.2005.09.012
Additional Information: Article in Press
ISSNs: 0047-259X (print)
Keywords: edge exclusion test, graphical log-linear model, model selection, odds ratio, overall power
Subjects:


ePrint ID: 35210
Date :
Date Event
2006Published
Date Deposited: 19 May 2006
Last Modified: 16 Apr 2017 22:10
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/35210

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