Calibrated random imputation for qualitative data

DOI10.1016/j.jspi.2003.11.010zbMath1095.62012OpenAlexW2046883796MaRDI QIDQ707054

Yves Tillé, Alina Matei, Anne-Catherine Favre

Publication date: 9 February 2005

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.11.010

zbMATH Keywords

CalibrationImputationSurveyCox algorithmItem non-responseQualitative variables

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (4)

Calibrated Imputation in Surveys Under a Quasi-Model-Assisted Approach ⋮ Spatially Balanced Sampling: A Review and A Reappraisal ⋮ Preserving relationships between variables with MIVQUE based imputation for missing survey data ⋮ Alternative expectation approaches for expectation-maximization missing data imputations in cox regression

Cites Work

• A variant of the Cox algorithm for the imputation of non-response of qualitative data
• Selection of several unequal probability samples from the same population
• Generalized calibration and application to weighting for non-response
• A General View of Estimation for Two Phases of Selection with Applications to Two-Phase Sampling and Nonresponse
• A Constructive Procedure for Unbiased Controlled Rounding
• Calibration Estimators in Survey Sampling
• A Generalization of Sampling Without Replacement From a Finite Universe
• An Iterative Method of Adjusting Sample Frequency Tables When Expected Marginal Totals are Known

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