On a linear method in bootstrap confidence intervals

A linear method for the construction of asymptotic bootstrap confidence intervals is proposed. We approximate asymptotically pivotal and non-pivotal quantities, which are smooth functions of means of n independent and identically distributed random variables, by using a sum of n independent smooth f...

Full description

Bibliographic Details
Main Author: Andrea Pallini
Format: Article
Language:English
Published: University of Bologna 2007-10-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/386
_version_ 1819293533529440256
author Andrea Pallini
author_facet Andrea Pallini
author_sort Andrea Pallini
collection DOAJ
description A linear method for the construction of asymptotic bootstrap confidence intervals is proposed. We approximate asymptotically pivotal and non-pivotal quantities, which are smooth functions of means of n independent and identically distributed random variables, by using a sum of n independent smooth functions of the same analytical form. Errors are of order Op(n-3/2) and Op(n-2), respectively. The linear method allows a straightforward approximation of bootstrap cumulants, by considering the set of n independent smooth functions as an original random sample to be resampled with replacement.
first_indexed 2024-12-24T04:11:56Z
format Article
id doaj.art-29eccddfeda54a52934e07ed263a18d9
institution Directory Open Access Journal
issn 0390-590X
1973-2201
language English
last_indexed 2024-12-24T04:11:56Z
publishDate 2007-10-01
publisher University of Bologna
record_format Article
series Statistica
spelling doaj.art-29eccddfeda54a52934e07ed263a18d92022-12-21T17:16:03ZengUniversity of BolognaStatistica0390-590X1973-22012007-10-0162152510.6092/issn.1973-2201/386377On a linear method in bootstrap confidence intervalsAndrea PalliniA linear method for the construction of asymptotic bootstrap confidence intervals is proposed. We approximate asymptotically pivotal and non-pivotal quantities, which are smooth functions of means of n independent and identically distributed random variables, by using a sum of n independent smooth functions of the same analytical form. Errors are of order Op(n-3/2) and Op(n-2), respectively. The linear method allows a straightforward approximation of bootstrap cumulants, by considering the set of n independent smooth functions as an original random sample to be resampled with replacement.http://rivista-statistica.unibo.it/article/view/386
spellingShingle Andrea Pallini
On a linear method in bootstrap confidence intervals
Statistica
title On a linear method in bootstrap confidence intervals
title_full On a linear method in bootstrap confidence intervals
title_fullStr On a linear method in bootstrap confidence intervals
title_full_unstemmed On a linear method in bootstrap confidence intervals
title_short On a linear method in bootstrap confidence intervals
title_sort on a linear method in bootstrap confidence intervals
url http://rivista-statistica.unibo.it/article/view/386
work_keys_str_mv AT andreapallini onalinearmethodinbootstrapconfidenceintervals