Calibrated Imputation in Surveys Under a Quasi-Model-Assisted Approach

DOI10.1111/J.1467-9868.2005.00511.XzbMath1069.62009OpenAlexW1980825044MaRDI QIDQ5313461

Jean-François Beaumont

Publication date: 1 September 2005

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2005.00511.x

zbMATH Keywords

two-phase samplingestimating functioneditingTaylor linearizationimputation modelnon-response model

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Sampling theory, sample surveys (62D05)

Related Items (7)

Preserving relationships between variables with MIVQUE based imputation for missing survey data ⋮ Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review ⋮ Nonresponse weighting adjustment using estimated response probability ⋮ Calibrated imputation of numerical data under linear edit restrictions ⋮ Bias Corrected Maximum Likelihood Estimator Under the Generalized Linear Model for a Binary Variable ⋮ Doubly Robust Inference With Nonprobability Survey Samples ⋮ Treating nonresponse in the estimation of the distribution function

Cites Work

• Calibrated random imputation for qualitative data
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