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A note on adjusted responses, fitted values and residuals in Generalized Linear Models

2014

Adjusted responses, adjusted fitted values and adjusted residuals are known to play in Generalized Linear Models the role played in Linear Models by observations, fitted values and ordinary residuals. We think this parallelism, which was widely recognized and used in the early literature on Generalized Linear Models, has been somewhat overlooked in more recent presentations. We revise this parallelism, systematizing and proving some results that are either scattered or not satisfactorily spelled out in the literature. In particular, we formally derive the asymptotic dispersion matrix of the (scaled) adjusted residuals, by proving that in Generalized Linear Models the fitted values are asym…

Statistics and ProbabilityGeneralized linear modelCovariance matrixLinear modelLinear predictionWald testUncorrelatedAdjusted ResidualWald test-statisticRao score test-statisticDecomposition (computer science)Parallelism (grammar)Linear ModelApplied mathematicsStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaGeneralized Linear ModelMathematicsStatistical Modelling
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