Kernel-based methods for combining information of several frame surveys

DOI10.1007/s00184-018-0686-8zbMath1416.62093OpenAlexW2894857228MaRDI QIDQ1731099

Xianqiang Yang

Publication date: 20 March 2019

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10481/68525

zbMATH Keywords

kernel regressionnonparametric regressionmodel-assisted estimationmultiple frame surveydual frame survey

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Sampling theory, sample surveys (62D05) Paired and multiple comparisons; multiple testing (62J15)

Uses Software

• Frames2

Cites Work

• Calibration estimation in dual-frame surveys
• Nonparametric estimation with mixed data types in survey sampling
• Local polynomial regresssion estimators in survey sampling.
• A predictive estimator of finite population mean using nonparametric regression
• Estimation in Dual Frame Surveys With Complex Designs
• On the Efficiency of Raking Ratio Estimation for Multiple Frame Surveys
• Multivariate binary discrimination by the kernel method
• Estimators Based on Several Stratified Samples with Applications to Multiple Frame Surveys
• Pseudo–Empirical Likelihood Inference for Multiple Frame Surveys
• Nonparametric Model Calibration Estimation in Survey Sampling
• Estimation in Multiple-Frame Surveys
• A Generalization of Sampling Without Replacement From a Finite Universe
• Estimation Techniques for Ordinal Data in Multiple Frame Surveys with Complex Sampling Designs
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