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AStA Advances in Statistical Analysis
Volumn 93, Issue 2, 2009, Pages 175-186
Semiparametric predictive mean matching
Author keywords

Gaussian mixture models; Imputation; Incomplete data; Nearest neighbor donor
Indexed keywords

EID: 70449523358     PISSN: 18638171     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10182-008-0081-2     Document Type: Article
Times cited : (11)
References (13)
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  • 2
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    • Imputation through finite Gaussian mixture models
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    • M. Di Zio U. Guarnera O. Luzi 2007 Imputation through finite mixture models Comput. Stat. Data Anal. 51 5305 5316 10.1016/j.csda.2006.10.002 2370885 05559627 (Pubitemid 46694027)
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  • 3
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    • Using missing data methods to correct for measurement error in a distribution function
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  • 4
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    • Model-based clustering, discriminant analysis, and density estimation
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    • Mixture model clustering for mixed data with missing information
    • DOI 10.1016/S0167-9473(02)00190-1, PII S0167947302001901
    • L. Hunt M. Jorgensen 2003 Mixture model clustering for mixed data with missing information Comput. Stat. Data Anal. 41 561 575 10.1016/S0167-9473(02) 00190-1 1973722 (Pubitemid 36065387)
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    • Hunt, L.1    Jorgensen, M.2
  • 7
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    • Missing-data adjustments in large surveys
    • 10.2307/1391878
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  • 9
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    • Exact Mean Integrated Squared Error
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    • S. Marron M. Wand 1992 Exact Mean Integrated Squared Error Ann. Stat. 20 712 736 10.1214/aos/1176348653 1165589 0746.62040
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    • Practical density estimation using mixtures of normals
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    • Roeder, K.1    Wasserman, L.2
  • 13
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    • Estimating the dimension of a model
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    • G. Schwarz 1978 Estimating the dimension of a model Ann. Stat. 6 461 464 10.1214/aos/1176344136 0379.62005
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.