Nonparametric variance estimation for nearest neighbor imputation

Journal of Official Statistics

Volumn 25, Issue 1, 2009, Pages 55-62

  Shao, Jun ^a  

^a University of Wisconsin   (United States)

Author keywords

Consistency; Nearest neighbor; Nonparametric method; Nonrespondents; Variance estimators

Indexed keywords

EID: 77950731209     PISSN: 0282423X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Chen, J. and Shao, J. (2000). Nearest Neighbor Imputation for Survey Data. Journal of Official Statistics, 16, 113-132.
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3. Farber,J.E.and Griffin,R.(1998). AComparison of Alternative Estimation Methodologies for Census 2000. Proceedings of the American Statistical Association, Section on Survey Research Methods, 629-634.
4. Fay, R.E. (1999). Theory and Application of Nearest Neighbor Imputation in Census 2000. Proceedings of the American Statistical Association, Section on Survey Research Methods, 112-121.
5. Montaquila, J.M. and Ponikowski, C.H. (1993). Comparison of Methods for Imputing Missing Responses in an Establishment Survey. Proceedings of the American Statistical Association, Section on Survey Research Methods, 446-451.
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8. Shao, J. and Wang, H. (2008). Confidence Intervals Based on Survey Data with Nearest Neighbor Imputation. Statistica Sinica, 18, 281-297.
9. U.S. Bureau of the Census (1987). Noncertainty Sample Specification. BSR-87 Action Memo D.06, the U.S. Census Bureau.
10. Valliant, R. (1993). Poststratification and Conditional Variance Estimation. Journal of the American Statistical Association, 88, 89-96.