Survey design asymptotics for the model-assisted penalised spline regression estimator

DOI10.1080/10485252.2013.780057zbMath1416.62087OpenAlexW2335614019MaRDI QIDQ2863048

Kelly S. McConville, F. Jay Breidt

Publication date: 21 November 2013

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2013.780057

zbMATH Keywords

nonparametric regressioncomplex surveysvariance estimationdesign consistency

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Sampling theory, sample surveys (62D05)

Related Items (4)

Model-assisted estimation in high-dimensional settings for survey data ⋮ Model-Assisted Estimation Through Random Forests in Finite Population Sampling ⋮ Mixed model regression estimation of a spatial total in the continuous plane paradigm ⋮ B-Spline Estimation in a Survey Sampling Framework

Uses Software

• SemiPar

Cites Work

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