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• W2006225775 abstract "In this paper we study a marked empirical process based on residuals. Results on its large-sample behavior may be used to provide nonparametric full-model checks for regression. Their decomposition into principal components gives new insight into the question: which kind of departure from a hypothetical model may be well detected by residual-based goodness-of-fit methods? The work also contains a small simulation study on straight-line regression." @default.
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• W2006225775 date "1997-04-01" @default.
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• W2006225775 title "Nonparametric model checks for regression" @default.
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• W2006225775 doi "https://doi.org/10.1214/aos/1031833666" @default.
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