Bootstrapping the mode
type: Item
instance of: scholarly article
title: Bootstrapping the mode
zbMATH Open document ID: 0684.62039
DOI: 10.1007/BF00053066
author: Joseph P. Romano
published in: Annals of the Institute of Statistical Mathematics
publication date: 1988-01-01T00:00:00Z
Mathematics Subject Classification ID: 62G15
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 4121229
zbMATH Keywords: bootstrap confidence intervals
zbMATH Keywords: mode of a density
zbMATH Keywords: kernel density estimates
zbMATH Keywords: fixed and data-dependent bandwidths
zbMATH Keywords: resampling
zbMATH Keywords: empirical distribution
MaRDI profile type: Publication
cites work: Bootstrap methods in statistics
cites work: Prepivoting to reduce level error of confidence sets
cites work: Some asymptotic theory for the bootstrap
cites work: On some global measures of the deviations of density function estimates
cites work: Q5560061
cites work: Bootstrap methods: another look at the jackknife
cites work: Q5624436
cites work: On the bootstrap and confidence intervals
cites work: On Estimation of a Probability Density Function and Mode
cites work: On weak convergence and optimality of kernel density estimates of the mode
cites work: Weak and strong uniform consistency of the kernel estimate of a density and its derivatives
cites work: Weak Convergence of Probability Measures on the Function Space $C\lbrack 0, \infty)$
full work available at URL: https://doi.org/10.1007/bf00053066
OpenAlex ID: W2038886578
description: scientific article; zbMATH DE number 4121229