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چکیده
SUMMARY Diagnostic residual and partial residual plots are proposed to identify nonlinearity in covariates for generalized linear models. It is shown that these plots are complement each other in the detection of nonlinearity. In addition, a transformed additive model which allows the resulting residual and partial residual plots to be obtained through the standard least squares approach is proposed. The performance of plots from transformed and untransformed models is comparable. Six illustrative examples are given.
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