Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Masayoshi_Takahashi>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.5334%2Fdsj-2017-037>
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dc:identifier	DBLP journals/datascience/Takahashi17 (xsd:string)
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dcterms:issued	2017 (xsd:gYear)
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rdfs:label	Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations. (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/journals/datascience/datascience16.html#Takahashi17>
rdfs:seeAlso	<https://doi.org/10.5334/dsj-2017-037>
dc:title	Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations. (xsd:string)
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