Endogenous post-stratification in surveys: classifying with a sample-fitted model

DOI10.1214/009053607000000703zbMath1132.62006arXiv0803.2100OpenAlexW2040486357MaRDI QIDQ2477066

Jean D. Opsomer, F. Jay Breidt

Publication date: 12 March 2008

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0803.2100

zbMATH Keywords

classificationstratificationcalibrationratio estimatorgeneralized linear modelHorvitz-Thompson estimatordesign consistencysurvey regression estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Related Items (3)

Uniform convergence of the empirical cumulative distribution function under informative selection from a finite population ⋮ Consistency of the Horvitz-Thompson estimator under general sampling and experimental designs ⋮ Survey design asymptotics for the model-assisted penalised spline regression estimator

Cites Work

• On the asymptotic normality of statistics with estimated parameters
• Model assisted survey sampling
• Local polynomial regresssion estimators in survey sampling.
• A Generalization of the Glivenko-Cantelli Theorem
• Model-assisted estimation for complex surveys using penalised splines
• A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
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