Confidence intervals for marginal parameters under fractional linear regression imputation for missing data

Yongsong Qin, J.N.K. Rao and Qunshu Ren

Journal of Multivariate Analysis, 2008, vol. 99, issue 6, 1232-1259

Abstract: Item nonresponse occurs frequently in sample surveys and other applications. Imputation is commonly used to fill in the missing item values in a random sample {Yi;i=1,...,n}. Fractional linear regression imputation, based on the model with independent zero mean errors [epsilon]i, is used to create one or more imputed values in the data file for each missing item Yi, where {Xi,i=1,...,n}, is observed completely. Asymptotic normality of the imputed estimators of the mean [mu]=E(Y), distribution function [theta]=F(y) for a given y, and qth quantile [theta]q=F-1(q),0

Keywords: Empirical; likelihood; Fractional; imputation; Missing; response; Normal; approximation (search for similar items in EconPapers)
Date: 2008
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