Analyzing Data Sets with Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/tse/MyrtveitSO01
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dcterms:
bibliographicCitation
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https://dblp.l3s.de/d2r/resource/authors/Ingunn_Myrtveit
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https://dblp.l3s.de/d2r/resource/authors/Ulf_H._Olsson
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2001
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Analyzing Data Sets with Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods.
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swrc:
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11
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swrc:
pages
999-1013
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dc:
subject
Software effort prediction, cost estimation, missing data, imputation methods, listwise deletion, mean imputation, similar response pattern imputation, full information maximum likelihood, log-log regression, ERP.
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dc:
title
Analyzing Data Sets with Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods.
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27
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