Reference : On the influence of misclassified data on results of goodness of fit testing
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/16952
On the influence of misclassified data on results of goodness of fit testing
English
[fr] A propos de l'influence des erreurs de classification sur les résultats du test de conformité
Magis, David mailto [Université de Liège - ULiège > Département de mathématique > Statistique mathématique >]
2005
Statistical Methodology
Elsevier
2
82-94
Yes
International
Amsterdam
Pays-Bas
[en] Goodness of fit ; Pearson statistic ; misclassification
[en] In this paper we focus on the chi-square test of goodness of fit, which compares an observed
discrete distribution to an expected known one. We show that the results of this test, using the
common Pearson statistic, are very sensitive to misclassified observations between two or more
categories. We also propose a general rule of thumb for analysing data set stability with respect
to such classification errors. Practical analysis of a real example illustrates our purpose.
http://hdl.handle.net/2268/16952
10.1016/j.stamet.2005.02.002

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