Reference : A note on the influence of pairwise misclassification in two-way tables
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/29605
A note on the influence of pairwise misclassification in two-way tables
English
[fr] Une note sur l'influence des erreurs de classification par paires dans les tables de contingence à double entrée
Magis, David mailto [Université de Liège - ULg > Département de mathématique > Statistique mathématique >]
Gérard, Paul mailto [Université de Liège - ULg > Département de mathématique > Statistique mathématique >]
2006
Journal of Statistical Computation & Simulation
Taylor & Francis Ltd
76
875-887
Yes (verified by ORBi)
International
0094-9655
Abingdon
United Kingdom
[en] log-linear model ; independence ; misclassification
[en] The influence of subject misclassification on log-linear analysis of two-way contingency tables is investigated. We define pairwise misclassification and focus on both deviance and Pearson statistics as goodness-of-fit criteria for testing independence between the variables. Attention is paid to the extremal values of the test statistics that can be reached on the basis of the data set. We derive theoretical properties and use them to detect potentially troubling cells in a simple computing routine. Examples illustrate our purpose.
http://hdl.handle.net/2268/29605

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