Mean estimation with calibration techniques in presence of missing data

DOI10.1016/j.csda.2005.06.003zbMath1445.62018OpenAlexW2153543694MaRDI QIDQ959407

B. E. Eshmatov

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.06.003

zbMATH Keywords

missing dataHorvitz-Thompson estimatorcalibration estimators

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Missing data (62D10)

Related Items (9)

Calibrated Estimators of Population Mean for a Mail Survey Design ⋮ Calibration using power transformation ⋮ On calibration of design weights ⋮ On density and regression estimation with incomplete data ⋮ Post-stratified calibration method for estimating quantiles ⋮ Two-step calibration of design weights in survey sampling ⋮ On the estimation of the general parameter ⋮ The optimization problem of quantile and poverty measures estimation based on calibration ⋮ Variable selection in propensity score adjustment to mitigate selection bias in online surveys

Cites Work

• Amputation versus imputation of missing values through ratio method in sample surveys
• On the asymptotic normality of statistics with estimated parameters
• Missing data and auxiliary information in surveys
• Linear models. Least squares and alternatives
• Calibration Estimators in Survey Sampling
• A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
• Generalized calibration approach for estimating variance in survey sampling
• Estimation of ratio of population means in survey sampling when some observations are missing
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