A Power Comparison Between Nonparametric Regression Tests

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Date

2003

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Publisher

Universitätsbibliothek Dortmund

Abstract

In this paper, we consider three major types of nonparametric regression tests that are based on kernel and local polynomial smoothing techniques. Their asymptotic power comparisons are established systematically under the fixed and contiguous alternatives, and are also illustrated through non-asymptotic investigations and finite-sample simulation studies.

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Keywords

goodness-of-fit, local alternative, local polynomial regression, power, smoothing parameter

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