The bootstrap: Some large sample theory and connections with robustness
type: Item
instance of: scholarly article
title: The bootstrap: Some large sample theory and connections with robustness
zbMATH Open document ID: 0595.62038
DOI: 10.1016/0167-7152(85)90033-1
author: William C. Parr
published in: Statistics \& Probability Letters
publication date: 1985-01-01T00:00:00Z
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62F12
zbMATH DE Number: 3958450
zbMATH Keywords: sampling distributions
zbMATH Keywords: differentiable statistical functionals
zbMATH Keywords: consistency of the bootstrap
zbMATH Keywords: robustness
zbMATH Keywords: location
zbMATH Keywords: bootstrap variance estimator
zbMATH Keywords: tail condition
zbMATH Keywords: modification of Efron's estimator
MaRDI profile type: Publication
full work available at URL: 0167-7152(85)90033-1
OpenAlex ID: W2076276282
cites work: Some asymptotic theory for the bootstrap
cites work: A note on differentials and the CLT and LIL for statistical functions, with application to M-estimates
cites work: Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
cites work: Bootstrap methods: another look at the jackknife
cites work: A note on bootstrapping the sample median
cites work: A General Qualitative Definition of Robustness
cites work: The Influence Curve and Its Role in Robust Estimation
description: scientific article; zbMATH DE number 3958450