An Entity of Type: software, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org

Imputation and Variance Estimation Software (IVEware) is a collection of routines written under various platforms and packaged to perform multiple imputations, variance estimation (or standard error) and, in general, draw inferences from incomplete data. It can also be used to perform analysis without any missing data. IVEware defaults to assuming a simple random sample, but uses the Jackknife Repeated Replication or Taylor Series Linearization techniques for analyzing data from complex surveys.

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dbo:abstract
  • Imputation and Variance Estimation Software (IVEware) is a collection of routines written under various platforms and packaged to perform multiple imputations, variance estimation (or standard error) and, in general, draw inferences from incomplete data. It can also be used to perform analysis without any missing data. IVEware defaults to assuming a simple random sample, but uses the Jackknife Repeated Replication or Taylor Series Linearization techniques for analyzing data from complex surveys. (en)
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  • 0.3
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  • 58535019 (xsd:integer)
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  • 4649 (xsd:nonNegativeInteger)
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  • 1070051140 (xsd:integer)
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dbp:author
  • Trivellore Raghunathan Peter W. Solenberger John Van Hoewyk Patricia Berglund (en)
dbp:developer
  • Survey Research Center (en)
dbp:genre
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  • 0.300000 (xsd:double)
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  • Iveware-logo3.gif (en)
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  • IVEware (en)
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rdfs:comment
  • Imputation and Variance Estimation Software (IVEware) is a collection of routines written under various platforms and packaged to perform multiple imputations, variance estimation (or standard error) and, in general, draw inferences from incomplete data. It can also be used to perform analysis without any missing data. IVEware defaults to assuming a simple random sample, but uses the Jackknife Repeated Replication or Taylor Series Linearization techniques for analyzing data from complex surveys. (en)
rdfs:label
  • Imputation and Variance Estimation Software (en)
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  • IVEware (en)
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