2013 년 제 11 회 통계세미나 개최 안내
통계연구소에서는 다음과 같이 통계 세미나를 개최하오니 많은 참여 바랍니다 .
일시 : 2013 년 9 월 25 일 ( 수 ) 오후 5 시
장소 : 고려대학교 정경관 507 호
연사 : 김재광 교수님 (Iowa State University)
Statistical Matching using Fractional Imputation
<Abstract>
Statistical matching is a technique of integrating two or more data sets when information available for matching records for individual participants across data sets is incomplete. Statistical matching can be viewed as a missing data problem where a researcher wants to perform a joint analysis of variables that are never jointly observed. A conditional independence assumption is often used to create imputed data for statistical matching.
We consider an alternative approach of statistical matching based on an instrumental variable assumption. Parametric fractional imputation of Kim (2011) is applied to create imputed data under the instrumental variable assumption. Variance estimation is also discussed. The proposed method is directly applicable to the analysis of split questionnaire design and measurement error models. This is a joint work with Dr. Berg at Iowa State University.
고려대학교 통계연구소