Inference for domains under imputation for missing survey data

Canadian Journal of Statistics

Volumn 33, Issue 2, 2005, Pages 149-161

  Haziza, David ^a   Rao, J N K ^b  

^a STATISTICS CANADA   (Canada)

^b CARLETON UNIVERSITY   (Canada)

Author keywords

Bias adjusted estimator; Design based approach; Domain totals and means; Model assisted approach; Regression imputation; Uniform response

Indexed keywords

EID: 23744449132     PISSN: 03195724     EISSN: None     Source Type: Journal    
DOI: 10.1002/cjs.5550330201     Document Type: Review

References (9)

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3. D. Haziza & J. N. K. Rao (2003a). Inference for totals in cluster sampling under mean imputation for missing data. In Symposium 2003: Challenges in Survey Taking for the Next Decade, International Symposium Series: Proceedings, Statistics Canada, Catalogue no. 11-522 XIE, CD/ROM.
4. D. Haziza & J. N. K. Rao (2003b). Inference for population means under unweighted imputation for missing survey data. Survey Methodology, 29, 81-90.
5. R. J. A. Little & D. B. Rubin (2002). Statistical Analysis with Missing Data. Wiley, New York.
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