Optimal design for local fitting

Abstract This paper provides optimal design strategies for local (polynomial) fitting by the so-called moving local regression, a well-known nonparametric statistical tool. A Kiefer—Wolfowitz type equivalence theorem is formulated. Some examples are employed to illustrate the relations and differences to parametric techniques.

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