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- Jae Kwang Kim
- 2009
Parametric fractional imputation is proposed as a general tool for missing data analysis. Using fractional weights, the observed likelihood can be approximated by the weighted mean of the imputed… (More)
- Jae Kwang Kim
- 2004
Finite sample properties of multiple imputation estimators under the linear regression model are studied. The exact bias of the multiple imputation variance estimator is presented. A method of… (More)
In two-phase sampling, the second-phase sample is often a stratified sample based on the information observed in the first-phase sample. For the total of a population characteristic, either the… (More)
Parameter estimation with non-ignorable missing data is a challenging problem in statistics. The fully parametric approach for joint modeling of the response model and the population model can… (More)
- Jae Kwang Kim, Jay J. Kim
- 2007
To reduce nonresponse bias in sample surveys, a method of nonresp s weighting adjustment is often used which consists of multiplying the sampling weight of the responde nt by the inverse of the… (More)
- Jae Kwang Kim
- 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… (More)
- Jae Kwang Kim
- 2005
Calibration estimation, which can be roughly described as a method of adjusting the original design weights to incorporate the known population totals of the auxiliary variables, has become very… (More)
- Jae Kwang Kim, Jongho Im
- 2012
Abstract Propensity score weighting adjustment is commonly used to handle unit nonresponse. When the response mechanism is nonignorable in the sense that the response probability depends directly on… (More)
- Jae Kwang Kim, Mingue Park
- 2009
Calibration estimation, where the sampling weights are adjusted to make certain estimators match known population totals, is commonly used in survey sampling. The generalized regression estimator is… (More)
The authors propose a new ratio imputation method using response proba bility. Their estimator can be justified either under the response model or under the imputation mo del; it is thus doubly… (More)