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Non parametric tests based on the alignment of observations for replicated Latin squares.

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Title: Non parametric tests based on the alignment of observations for replicated Latin squares.
Authors: Yang, Joseph1 (AUTHOR) yangjose@iu.edu, Terpstra, Jeff2 (AUTHOR)
Source: Communications in Statistics: Theory & Methods. 2026, Vol. 55 Issue 9, p2626-2643. 18p.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 192172592
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Non parametric tests based on the alignment of observations for replicated Latin squares.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Joseph%22">Yang, Joseph</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yangjose@iu.edu</i><br /><searchLink fieldCode="AR" term="%22Terpstra%2C+Jeff%22">Terpstra, Jeff</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Communications+in+Statistics%3A+Theory+%26+Methods%22">Communications in Statistics: Theory & Methods</searchLink>. 2026, Vol. 55 Issue 9, p2626-2643. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192172592
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/03610926.2025.2556783
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 2626
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      – TitleFull: Non parametric tests based on the alignment of observations for replicated Latin squares.
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            NameFull: Yang, Joseph
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            NameFull: Terpstra, Jeff
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            – D: 01
              M: 05
              Text: 2026
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              Y: 2026
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            – TitleFull: Communications in Statistics: Theory & Methods
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