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.
Publié le : 1988-12-14
Classification:
Bayesian inference,
hot deck,
missing data,
nonresponse,
sample surveys,
62D05,
62E20
@article{1176351053,
author = {Schenker, Nathaniel and Welsh, A. H.},
title = {Asymptotic Results for Multiple Imputation},
journal = {Ann. Statist.},
volume = {16},
number = {1},
year = {1988},
pages = { 1550-1566},
language = {en},
url = {http://dml.mathdoc.fr/item/1176351053}
}
Schenker, Nathaniel; Welsh, A. H. Asymptotic Results for Multiple Imputation. Ann. Statist., Tome 16 (1988) no. 1, pp. 1550-1566. http://gdmltest.u-ga.fr/item/1176351053/