Journal
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
Volume 13, Issue 1, Pages 36-47Publisher
AMER STATISTICAL ASSOC
DOI: 10.1198/1061860042949_a
Keywords
deviance residuals distribution; logistic regression; probability plot
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The normal quantile-quantile (Q-Q) plot of residuals is a popular diagnostic tool for ordinary linear regression with normal errors. However, for some generalized linear regression models, the distribution of deviance residuals maybe very far from normality, and therefore the corresponding normal Q-Q plots may be misleading to check model adequacy. We introduce an estimate of the distribution of the deviance residuals of generalized linear models. We propose a new Q-Q plot where the observed deviance residuals are plotted against the quantiles of the estimated distribution. The method is illustrated by the analysis of real and simulated data.
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