Abstract
It is shown by an example that in general, the rate of bootstrap approximation to the studentized sample mean of lattice data is not better than the rate in the case of the normalized sample mean. A modified bootstrap method is proposed and shown to be second-order correct. Unlike the conventional "smoothed" bootstrap methods, the proposed procedure smooths the estimator rather than the resampling distribution. It is observed that irrespective of the lattice or nonlattice character of the data, confidence intervals based on this procedure have more accurate coverage probabilities than the usual bootstrap confidence intervals.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
