Variable selection in multiple regression requires identifying the best subset from among a set of candidate predictors. In the case of polynomial regression, the variable selection process can be ...
We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...
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