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On Pearson's residuals in generalized linear models

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  • Cordeiro, Gauss M.

Abstract

A rigorous asymptotic theory for Pearson residuals in generalized linear models is not yet available. We give matrix formulae of order n-1, where n is the sample size, for the first two moments of these residuals. The formulae are applicable to many regression models in common use. We suggest adjusted Pearson residuals in these models with approximately zero mean and unit variance.

Suggested Citation

  • Cordeiro, Gauss M., 2004. "On Pearson's residuals in generalized linear models," Statistics & Probability Letters, Elsevier, vol. 66(3), pages 213-219, February.
    • Handle: RePEc:eee:stapro:v:66:y:2004:i:3:p:213-219
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    Cited by:

    1. Juliana Scudilio & Gustavo H. A. Pereira, 2020. "Adjusted quantile residual for generalized linear models," Computational Statistics, Springer, vol. 35(1), pages 399-421, March.

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