Efficient random imputation for missing data in complex surveys

Statistica Sinica

Volumn 10, Issue 4, 2000, Pages 1153-1169

  Chen, J ^a   Rao, J N K ^b   Sitter, R R ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b CARLETON UNIVERSITY   (Canada)

^c SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Adjusted imputation; Bootstrap; Hotdeck; Jackknife; Mean imputation; Stratified multistage sampling

Indexed keywords

EID: 0347899828     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

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3. Efron, B. (1982). The Jackknife, the Bootstrap and Other Resampling Plans. SIAM, Philadelphia, USA.
4. Fay, R. E. (1996). Alternative paradigms for the analysis of imputed survey data. J. Amer. Statist. Assoc. 91, 490-498.
5. Kalton, G. and Kish, L. (1984). Some efficient random imputation methods. Comm. Statist., Part A - Theory and Methods 13, 1919-1939.
6. Rao, J. N. K. and Shao, J. (1992). Jackknife variance estimation with survey data under hot deck imputation. Biometrika 79, 811-822.
7. Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys. Wiley, New York.
8. Saigo, H., Shao, J. and Sitter, R. R. (1999). A repeated half-sample bootstrap and balanced repeated replications for randomly imputed data. Unpublished Manuscript.
9. Sarndal, C. E. (1992). Methods for estimating the precision of survey estimators when imputation has been used. Survey Methodology 18, 241-252.
10. Serfling, R. J. (1980). Approximation Theorems of Mathematical Statistics. Wiley, New York.
11. Shao, J. and Sitter, R. R. (1996). Bootstrap for imputed data. J. Amer. Statist. Assoc. 91, 1278-1288.