Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset.

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Title: Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset.
Authors: Ratolojanahary, Romy1, romy-alinoro.ratolojanahary@enit.fr, Houé Ngouna, Raymond1, raymond.houe-ngouna@enit.fr, Medjaher, Kamal1, kamal.medjaher@enit.fr, Junca-Bourié, Jean2, jean.junca-bourie@eau-adour-garonne.fr, Dauriac, Fabien3, fdauriac@hautes-pyrenees.chambagri.fr, Sebilo, Mathieu4, mathieu.sebilo@upmc.fr
Source: Expert Systems with Applications; Oct2019, Vol. 131, p299-307, 9p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 136499099
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=136499099
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.eswa.2019.04.049
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 299
    Titles:
      – TitleFull: Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset.
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            NameFull: Ratolojanahary, Romy
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            NameFull: Houé Ngouna, Raymond
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            NameFull: Medjaher, Kamal
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            NameFull: Junca-Bourié, Jean
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            NameFull: Dauriac, Fabien
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            NameFull: Sebilo, Mathieu
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          Dates:
            – D: 01
              M: 10
              Text: Oct2019
              Type: published
              Y: 2019
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              Value: 09574174
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              Value: 131
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            – TitleFull: Expert Systems with Applications
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