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A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
- Jae Kwang Kim, Cindy L. Yu
- Mathematics
- 1 March 2011
Parameter estimation with nonignorable missing data is a challenging problem in statistics. The fully parametric approach for joint modeling of the response model and the population model can produce…
Parametric fractional imputation for missing data analysis
- Jae Kwang Kim
- Mathematics
- 1 March 2011
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…
An Instrumental Variable Approach for Identification and Estimation with Nonignorable Nonresponse
- Sheng Wang, J. Shao, Jae Kwang Kim
- Mathematics
- 1 July 2014
Estimation based on data with nonignorable nonresponse is considered when the joint distribution of the study variable y and covariate x is nonpara- metric and the nonresponse probability conditional…
Statistical Methods for Handling Incomplete Data
- Jae Kwang Kim, J. Shao
- Computer Science
- 23 July 2013
TLDR
Nonresponse weighting adjustment using estimated response probability
- Jae Kwang Kim, Jay-J. Kim
- Mathematics
- 1 December 2007
To reduce nonresponse bias in sample surveys, a method of nonresponse weighting adjustment is often used which consists of multiplying the sampling weight of the respondent by the inverse of the…
Fractional hot deck imputation
- Jae Kwang Kim, W. Fuller
- Mathematics
- 1 September 2004
To compensate for item nonresponse, hot deck imputation procedures replace missing values with values that occur in the sample. Fractional hot deck imputation replaces each missing observation with a…
Calibration estimation using empirical likelihood in survey sampling
- Jae Kwang Kim
- Mathematics
- 2009
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…
A Propensity-score-adjustment Method for Nonignorable Nonresponse
- M. Riddles, Jae Kwang Kim, Jongho Im
- Physics
- 1 June 2016
Population empirical likelihood for nonparametric inference in survey sampling
- Shyh-Jye Chen, Jae Kwang Kim
- Mathematics
- 2014
Empirical likelihood is a popular tool for incorporating auxiliary information and constructing nonparametric confidence intervals. In survey sampling, sample elements are often selected by using an…
Finite sample properties of multiple imputation estimators
- Jae Kwang Kim
- Mathematics
- 1 April 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…
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