Using i.i.d. bootstrap inference for general non-i.i.d. models
type: Item
instance of: scholarly article
title: Using i.i.d. bootstrap inference for general non-i.i.d. models
zbMATH Open document ID: 0811.62052
author: Regina Y. Liu
author: Kesar Singh
published in: Journal of Statistical Planning and Inference
publication date: 1995-05-04T00:00:00Z
Mathematics Subject Classification ID: 62G09
Mathematics Subject Classification ID: 62G15
zbMATH DE Number: 731932
zbMATH Keywords: conservative inference
zbMATH Keywords: jackknife procedures
zbMATH Keywords: coverage probability
zbMATH Keywords: product-limit estimator
zbMATH Keywords: bootstrap confidence intervals
MaRDI profile type: Publication
cites work: Q3685003
cites work: A Note on Quantiles in Large Samples
cites work: Prepivoting to reduce level error of confidence sets
cites work: Bootstrap methods: another look at the jackknife
cites work: Bootstrap confidence intervals for a class of parametric problems
cites work: Better Bootstrap Confidence Intervals
cites work: Theoretical comparison of bootstrap confidence intervals
cites work: Bootstrap procedures under some non-i.i.d. models
cites work: Q3486654
cites work: The product-limit estimator and the bootstrap: Some asymptotic representations
cites work: A general theory for jackknife variance estimation
Recommended article: Bootstrap procedures under some non-i.i.d. models
Recommended article: Bootstrap inference for a class of non-regular estimators
Recommended article: Q4916567
Recommended article: Bootstrap for generalized linear models
Recommended article: A general methodology for bootstrapping in non-parametric frontier models
Recommended article: Generalised bootstrap in non-regular M-estimation problems
Recommended article: Q4273773
description: scientific article; zbMATH DE number 731932