A two-way classification of regression estimation strategies in probability sampling

DOI10.2307/3315229zbMath0466.62013OpenAlexW2006284169MaRDI QIDQ3918881

Carl-Erik Särndal

Publication date: 1980

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

Full work available at URL: https://doi.org/10.2307/3315229

zbMATH Keywords

design consistencygeneralized regression estimatortwo-way classification of regression estimation strategies

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05)

Related Items (3)

Generalised regression estimators for average treatment effect with multicollinearity in high-dimensional covariates ⋮ Generalized Regression Estimators with High-Dimensional Covariates ⋮ A note on non-negative mean square error estimation of regression estimators in randomized response surveys

Cites Work

• A Class of Robust Sampling Designs for Large-Scale Surveys
• A "Super-Population Viewpoint" for Finite Population Sampling
• Some results on generalized difference estimation and generalized regression estimation for finite populations
• Robust Estimation in Finite Populations I
• Robust Estimation in Finite Populations II: Stratification on a Size Variable
• On finite population sampling theory under certain linear regression models
• RATIO ESTIMATION AND FINITE POPULATIONS: SOME RESULTS DEDUCIBLE FROM THE ASSUMPTION OF AN UNDERLYING STOCHASTIC PROCESS

This page was built for publication: A two-way classification of regression estimation strategies in probability sampling