Bandwidth selection for kernel distribution function estimation
type: Item
instance of: scholarly article
title: Bandwidth selection for kernel distribution function estimation
zbMATH Open document ID: 0833.62035
DOI: 10.1016/0378-3758(94)00102-2
author: Christian Léger
author: Naomi S. Altman
published in: Journal of Statistical Planning and Inference
publication date: 1996-03-19T00:00:00Z
full work available at URL: https://hdl.handle.net/1813/31832
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 814340
zbMATH Keywords: smoothing parameter selection
zbMATH Keywords: leave-one-out estimator
zbMATH Keywords: cross-validation
zbMATH Keywords: bandwidth selection
zbMATH Keywords: kernel distribution function estimators
zbMATH Keywords: kernel density estimation
zbMATH Keywords: simulations
zbMATH Keywords: leave-none-out criterion
zbMATH Keywords: plug-in estimator
MaRDI profile type: Publication
OpenAlex ID: W2119655341
cites work: A Flexible and Fast Method for Automatic Smoothing
cites work: Estimation of integrated squared density derivatives
cites work: Optimal bandwidth selection in nonparametric regression function estimation
cites work: A simple root \(n\) bandwidth selector
cites work: Exact mean integrated squared error
cites work: Bandwidth choice and confidence intervals for derivatives of noisy data
cites work: Q5509408
cites work: Q3966924
cites work: Smoothing parameter selection for smooth distribution functions
cites work: Q4272483
cites work: Q3395931
cites work: Consistent nonparametric regression. Discussion
cites work: An asymptotically optimal window selection rule for kernel density estimates
cites work: Q4066417
cites work: A completely automatic french curve: fitting spline functions by cross validation
cites work: On Choosing a Delta-Sequence
description: scientific article; zbMATH DE number 814340