Kernel estimation for a superpopulation probability density function under informative selection
type: Item
instance of: scholarly article
title: Kernel estimation for a superpopulation probability density function under informative selection
zbMATH Open document ID: 1392.62099
author: Daniel Bonnéry
author: F. Jay Breidt
author: François Coquet
published in: Metron
publication date: 2018-01-12T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62D05
zbMATH DE Number: 6825488
zbMATH Keywords: Bochner's lemma
zbMATH Keywords: complex survey
zbMATH Keywords: Nadaraya-Watson estimator
zbMATH Keywords: survey weighting D
zbMATH Keywords: probability density function (pdf)
describes a project that uses: BonneryBreidtCoquetMetronKDE
describes a project that uses: ks
describes a project that uses: GitHub
MaRDI profile type: Publication
full work available at URL: s40300-017-0127-x
OpenAlex ID: W2761590184
cites work: A new approach to weighting and inference in sample surveys
cites work: Q4257266
cites work: Uniform convergence of the empirical cumulative distribution function under informative selection from a finite population
cites work: Asymptotics for the maximum sample likelihood estimator under informative selection from a finite population
cites work: Asymptotic properties of kernel density estimation with complex survey data
cites work: Sampling Statistics
cites work: Q4266270
cites work: Q5509408
cites work: Sample surveys: inference and analysis
cites work: Introduction to nonparametric estimation
cites work: Q5510038
DOI: 10.1007/S40300-017-0127-X
description: scientific article; zbMATH DE number 6825488