Article ID Journal Published Year Pages File Type
416041 Computational Statistics & Data Analysis 2009 15 Pages PDF
Abstract

In general, the distribution of residuals cannot be obtained explicitly. In this paper we give an asymptotic formula for the density of Pearson residuals in continuous generalized linear models corrected to order n−1n−1, where nn is the sample size. We define a set of corrected Pearson residuals for these models that, to this order of approximation, have exactly the same distribution of the true Pearson residuals. An application to a real data set and simulation results for a gamma model illustrate the usefulness of our corrected Pearson residuals.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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