Asymptotic Results for Multiple Imputation

Imputation and multiple-imputation procedures have been used in practice to handle the problem of ignorable nonresponse in sample surveys. We examine the large-sample properties of these procedures where covariates are available for the case when the complete-data analysis is based on least squares....

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Veröffentlicht in:	The Annals of statistics 1988-12, Vol.16 (4), p.1550-1566
Hauptverfasser:	Schenker, Nathaniel, Welsh, A. H.
Format:	Artikel
Sprache:	eng
Schlagworte:	62D05 62E20 Approximation Bayesian inference Data imputation Data sampling Estimators Exact sciences and technology hot deck Inference Interval estimators Mathematics missing data nonresponse Perceptron convergence procedure Probability and statistics Random sampling Random variables sample surveys Sampling theory, sample surveys Sciences and techniques of general use Statistics Survey sampling
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Beschreibung
Zusammenfassung:	Imputation and multiple-imputation procedures have been used in practice to handle the problem of ignorable nonresponse in sample surveys. We examine the large-sample properties of these procedures where covariates are available for the case when the complete-data analysis is based on least squares. The results provide a formal justification for the inference procedures discussed by Rubin and Schenker for the location problem and suggest new procedures for the regression problem.
ISSN:	0090-5364 2168-8966
DOI:	10.1214/aos/1176351053