Bootstrapping the studentized sample mean of lattice variables

  • Soumendra Nath Lahiri

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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.

Original languageEnglish
Pages (from-to)247-256
Number of pages10
JournalJournal of Multivariate Analysis
Volume45
Issue number2
DOIs
StatePublished - May 1993

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