functionals of kernel-type estimators (1 < p < ∞) and is easy to implement in general, mainly due to its recourse to the bootstrap … method. The bootstrap procedure is based on nonparametric bootstrap applied to kernel-based test statistics, with estimated … "contact sets". We provide regularity conditions under which the bootstrap test is asymptotically valid uniformly over a large …

coverage for small sample sizes, a simple bootstrap procedure is designed based on the leading term of the Bahadur … demonstrated that the bootstrap procedure considerably outperforms the asymptotic bands in terms of coverage accuracy. Finally, the … bootstrap confidence corridors are used to study the efficacy of the National Supported Work Demonstration, which is a …

the test statistics or using bootstrap methods to obtain critical values. Our simulation results indicate that our tests …

using the bootstrap. An empirical application illustrates the usefulness of shape restrictions for carrying out …

We consider theoretical bootstrap "coupling" techniques for nonparametric robust smoothers and quantile regression, and … verify the bootstrap improvement. To cope with curse of dimensionality, a variant of "coupling" bootstrap techniques are …. Our bootstrap method can be used in many situations like constructing con dence intervals and bands. We demonstrate the …

(g) can be carried out by using by using the bootstrap. An empirical application illustrates the usefulness of shape …