The effects of kernel choices in density estimation with biased data
type: Item
instance of: scholarly article
title: The effects of kernel choices in density estimation with biased data
zbMATH Open document ID: 0879.62032
DOI: 10.1016/S0167-7152(96)00205-2
published in: Statistics \& Probability Letters
publication date: 1998-01-11T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62C20
zbMATH DE Number: 1054087
zbMATH Keywords: selection biased sample
zbMATH Keywords: nonparametric maximum likelihood estimator
zbMATH Keywords: kernel density estimator
zbMATH Keywords: optimal kernels
zbMATH Keywords: bandwidth
zbMATH Keywords: adaptive procedure
author: Colin O. Wu
MaRDI profile type: Publication
cites work: On multivariate kernel estimation for samples from weighted distributions
cites work: Large sample theory of empirical distributions in biased sampling models
cites work: Smoothing techniques. With implementation in S
cites work: Regression analysis based on stratified samples
cites work: Kernel density estimation for length biased data
cites work: Canonical kernels for density estimation
cites work: Q4727203
cites work: Empirical distributions in selection bias models
cites work: Kernel smoothing of the nonparametric maximum likelihood estimates for biased sampling models
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description: scientific article; zbMATH DE number 1054087