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Mahalanobis-geometry imputation for multivariate data with missing entries.

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Title: Mahalanobis-geometry imputation for multivariate data with missing entries.
Authors: S., Alvaro H. Salas1 (AUTHOR) ahsalass@unal.edu.co, R., David L. Ocampo1 (AUTHOR), H., Lorenzo J. Martínez1,2 (AUTHOR)
Source: AIMS Mathematics. 2026, Vol. 11 Issue 5, p1-14. 14p.
Database: Mathematics Source
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Header DbId: msf
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An: 194376235
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PubType: Academic Journal
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  Data: Mahalanobis-geometry imputation for multivariate data with missing entries.
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  Data: <searchLink fieldCode="JN" term="%22AIMS+Mathematics%22">AIMS Mathematics</searchLink>. 2026, Vol. 11 Issue 5, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=194376235
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: Mahalanobis-geometry imputation for multivariate data with missing entries.
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            NameFull: S., Alvaro H. Salas
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            NameFull: R., David L. Ocampo
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            NameFull: H., Lorenzo J. Martínez
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              Text: 2026
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              Y: 2026
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