On kernel nonparametric regression designed for complex survey data

DOI10.1007/s00184-009-0244-5zbMath1189.62069OpenAlexW2069423310MaRDI QIDQ976962

Torsten Harms, Pierre Duchesne

Publication date: 16 June 2010

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-009-0244-5

zbMATH Keywords

bandwidthlocal polynomial regressionnonparametric regressionsurvey samplinglocal linear regressionsampling weightsdesign-based inferencemodel-based inference

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Sampling theory, sample surveys (62D05)

Related Items

Nonparametric regression estimators in dual frame surveys, Regression Coefficient Estimation in Dual Frame Surveys, Difference-based variance estimator for nonparametric regression in complex surveys, Adjusted Confidence Bands for Complex Survey Data, Nonparametric regression estimators in complex surveys, Kernel density estimation based on the distinct units in sampling with replacement, Kernel density estimation from complex surveys in the presence of complete auxiliary information, Finite population model-assisted estimation using combined parametric and nonparametric regression smoothers

Uses Software

• KernSmooth

Cites Work

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• Estimating distribution functions from survey data using nonparametric regression
• Smoothing techniques. With implementation in S
• Model assisted survey sampling
• Asymptotic properties of kernel density estimation with complex survey data
• Multivariate locally weighted least squares regression
• Local polynomial regresssion estimators in survey sampling.
• Inference for superpopulation parameters using sample surveys
• An Effective Bandwidth Selector for Local Least Squares Regression
• The Role of Sampling Weights When Modeling Survey Data
• Model-assisted estimation for complex surveys using penalised splines
• Calibration Estimators in Survey Sampling
• A "Super-Population Viewpoint" for Finite Population Sampling
• Efficient Estimators With Simple Variance in Unequal Probability Sampling
• Selecting the amount of smoothing in nonparametric regression estimation for complex surveys
• Réduction de la variance dans les sondages en présence d'information auxiliarie: Une approache non paramétrique par splines de régression
• On Estimation of a Probability Density Function and Mode