Highly Influenced

# Fractional imputation using regression imputation model

@inproceedings{Kim2002FractionalIU, title={Fractional imputation using regression imputation model}, author={Jae Kwang Kim}, year={2002} }

- Published 2002

Consider a finite population of N elements identified by a set of indices U = {1, 2, ..., N}. Associated with each unit i in the population there is a study variable yi and a vector xi of auxiliary variables. Let A denote the set of indices for the elements in a sample selected by a set of probability rules called the sampling mechanism. Let the population quantity of interest be θN = ∑N i=1 yi or θN = N −1 ∑N i=1 yi and let θ̂n be a linear estimator of θN based on the full sample, θ̂n = ∑