[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.
Disciplines :
Mathematics
Author, co-author :
Magis, David ; Université de Liège - ULiège > Département de mathématique > Statistique mathématique
Gérard, Paul ; Université de Liège - ULiège > Département de mathématique > Statistique mathématique
Language :
English
Title :
A note on the influence of pairwise misclassification in two-way tables
Alternative titles :
[fr] Une note sur l'influence des erreurs de classification par paires dans les tables de contingence à double entrée
