Réduction de la variance dans les sondages en présence d'information auxiliarie: Une approache non paramétrique par splines de régression

DOI10.1002/cjs.5550330202zbMath1071.62006OpenAlexW1973234865MaRDI QIDQ5696342

Camelia Goga

Publication date: 18 October 2005

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

Full work available at URL: https://doi.org/10.1002/cjs.5550330202

zbMATH Keywords

stratificationB-splinesmodel-assisted estimatorgeneralized regression estimatorsanticipated variance

Mathematics Subject Classification ID

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

Related Items

Nonparametric regression estimators in dual frame surveys, Some models for estimation of total of a study variable having many zero values, Model-assisted estimation in high-dimensional settings for survey data, Model-Assisted Estimation Through Random Forests in Finite Population Sampling, On kernel nonparametric regression designed for complex survey data, Difference-based variance estimator for nonparametric regression in complex surveys, Nonparametric regression estimators in complex surveys, Survey design asymptotics for the model-assisted penalised spline regression estimator, B-Spline Estimation in a Survey Sampling Framework

Uses Software

• FITPACK

Cites Work

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