sample performance of the new test with the bootstrap methods as well as with the standard normal approximations, and show … that the fixed-b asymptotics and the bootstrap methods are markedly superior to the standard normal approximation for a …

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 …

We introduce a nonparametric block bootstrap approach for Quasi-Likelihood Ratio type tests of nonlinear restrictions …. Unlike existing parametric bootstrap procedures for Quasi-Likelihood Ratio type tests, our procedure constructs bootstrap … samples in a fully nonparametric way. We study the higher order properties of our nonparametric block bootstrap and show the …