, but it can often be estimated very accurately by using the bootstrap. The latter does not depend on unknown population …

, factor based bootstrap approach is proposed for inferential issues in functional coefficient models. This approach can cope … with heterogeneous error distributions and is proven to hold asymptotically. In simulation studies factor based bootstrap … inference outperforms the wild bootstrap and pairs bootstrap approach according to its size features. Regarding current account …

Poisson regression in a log-linear model. The third one is a nonparametric approach based on bootstrap percentile confidence … computationally expensive and it has desirable Type I errors in most cases as well as good powers. The bootstrap-based method is the …

the classical paradigm, by investigating the best way to estimate bootstrap confidence limits on recreational harvest and …

estimator (CME), the bootstrap and the more recently proposed hook-and-loop resampling based model selection. The advantages and …

prove a wild bootstrap implementation to restore asymptotically pivotal inference for the above and new CUSUM‐ and Cramér … ability: wild bootstrap inference typically yields convincing evidence for advantages of the SPF, while tests using non …