After fitting a
generalized linear model to the data, to check the adequacy of the respective model, one usually computes various
residual statistics. The
deviance residual is computed as:
Where di = D, and D is the overall deviance measure of discrepancy of a generalized linear model (see McCullagh and Nelder, 1989, for details). Thus, the
deviance statistic for an observation reflects it's contribution to the overall goodness of fit (deviance) of the model.
See also the description of the
Generalized Linear Models chapter.
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