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Main Authors: Dalitz, Christoph, Lögler, Felix
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2412.05032
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author Dalitz, Christoph
Lögler, Felix
author_facet Dalitz, Christoph
Lögler, Felix
contents The m-out-of-n bootstrap is a possible workaround to compute confidence intervals for bootstrap inconsistent estimators, because it works under weaker conditions than the n-out-of-n bootstrap. It has the disadvantage, however, that it requires knowledge of an appropriate scaling factor tau(n) and that the coverage probability for finite n depends on the choice of m. This article presents an R package moonboot which implements the computation of m-out-of-n bootstrap confidence intervals and provides functions for estimating the parameters tau(n) and m. By means of Monte Carlo simulations, we evaluate the different methods and compare them for different estimators
format Preprint
id arxiv_https___arxiv_org_abs_2412_05032
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle moonboot: An R Package Implementing m-out-of-n Bootstrap Methods
Dalitz, Christoph
Lögler, Felix
Methodology
The m-out-of-n bootstrap is a possible workaround to compute confidence intervals for bootstrap inconsistent estimators, because it works under weaker conditions than the n-out-of-n bootstrap. It has the disadvantage, however, that it requires knowledge of an appropriate scaling factor tau(n) and that the coverage probability for finite n depends on the choice of m. This article presents an R package moonboot which implements the computation of m-out-of-n bootstrap confidence intervals and provides functions for estimating the parameters tau(n) and m. By means of Monte Carlo simulations, we evaluate the different methods and compare them for different estimators
title moonboot: An R Package Implementing m-out-of-n Bootstrap Methods
topic Methodology
url https://arxiv.org/abs/2412.05032