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Better experimental design by hybridizing binary matching with imbalance optimization.

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Title: Better experimental design by hybridizing binary matching with imbalance optimization.
Authors: Krieger, Abba M.1, Azriel, David A.2, Kapelner, Adam3, kapelner@qc.cuny.edu
Source: Canadian Journal of Statistics; Mar2023, Vol. 51 Issue 1, p275-292, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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  Data: Better experimental design by hybridizing binary matching with imbalance optimization.
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  Data: <searchLink fieldCode="AU" term="%22Krieger%2C+Abba+M%2E%22">Krieger, Abba M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Azriel%2C+David+A%2E%22">Azriel, David A.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Kapelner%2C+Adam%22">Kapelner, Adam</searchLink><relatesTo>3</relatesTo>, <i>kapelner@qc.cuny.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Statistics%22">Canadian Journal of Statistics</searchLink>; Mar2023, Vol. 51 Issue 1, p275-292, 18p
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      – Type: doi
        Value: 10.1002/cjs.11685
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 275
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      – TitleFull: Better experimental design by hybridizing binary matching with imbalance optimization.
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            NameFull: Krieger, Abba M.
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            NameFull: Azriel, David A.
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              Text: Mar2023
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              Y: 2023
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