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Volumn 57, Issue 1, 2003, Pages 58-74

A non-iterative Bayesian approach to statistical matching

Author keywords

Data fusion; Data merging; File concatenation; Mass imputation; Missing by design; Missing data; Multiple imputation; Observed data posterior

Indexed keywords


EID: 28444456729     PISSN: 00390402     EISSN: 14679574     Source Type: Journal    
DOI: 10.1111/1467-9574.00221     Document Type: Article
Times cited : (19)

References (17)
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  • 7
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    • Statistical matching: A paradigm for assessing the uncertainty in the procedure
    • MORIARITY, C. and F. SCHEUREN (2001), Statistical matching: a paradigm for assessing the uncertainty in the procedure, Journal of Official Statistics 17, 407-422.
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    • Moriarity, C.1    Scheuren, F.2
  • 10
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    • RUBIN, D.B. (1974), Characterizing the estimation of parameters in incomplete-data problems, Journal of the American Statistical Association 69, 467-474.
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    • Rubin, D.B.1
  • 11
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    • Statistical matching using file concatenation with adjusted weights and multiple imputations
    • RUBIN, D. B. (1986), Statistical matching using file concatenation with adjusted weights and multiple imputations, Journal of Business and Economic Statistics 4, 87-95.
    • (1986) Journal of Business and Economic Statistics , vol.4 , pp. 87-95
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  • 13
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    • Imputation
    • S. KOTZ, C.B. READ, and D.L. BANKS (eds.) Update, John Wiley and Sons, New York
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    • (1998) Encyclopedia of Statistical Sciences , vol.2 , pp. 336-342
    • Rubin, D.B.1    Schenker, N.2
  • 16
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    • Flexible multivariate imputation by MICE
    • Leiden
    • VAN BUUREN, S. and K. OUDSHOORN (1999), Flexible multivariate imputation by MICE, TNO Report PG/VGZ/99.054, Leiden.
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    • Van Buuren, S.1    Oudshoorn, K.2
  • 17
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    • Multivariate imputation by chained equations
    • Leiden
    • VAN BUUREN, S. and C.G.M. OUDSHOORN (2000), Multivariate imputation by chained equations, TNO Report PG/VGZ/00.038, Leiden.
    • (2000) TNO Report , vol.PG-VGZ-00.038
    • Van Buuren, S.1    Oudshoorn, C.G.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.