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Compositional data analysis for modelling and forecasting mortality using the α-transformation.

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Title: Compositional data analysis for modelling and forecasting mortality using the α-transformation.
Authors: Lim, Han Ying1 (AUTHOR), Pathmanathan, Dharini1 (AUTHOR) dharini@um.edu.my, Dabo-Niang, Sophie2,3 (AUTHOR)
Source: Journal of Applied Statistics. Feb2026, p1-15. 15p. 4 Illustrations.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 191910317
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Compositional data analysis for modelling and forecasting mortality using the <italic>α</italic>-transformation.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Statistics%22">Journal of Applied Statistics</searchLink>. Feb2026, p1-15. 15p. 4 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=191910317
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/02664763.2026.2634791
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1
    Titles:
      – TitleFull: Compositional data analysis for modelling and forecasting mortality using the <italic>α</italic>-transformation.
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          Name:
            NameFull: Lim, Han Ying
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            NameFull: Pathmanathan, Dharini
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            NameFull: Dabo-Niang, Sophie
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          Dates:
            – D: 25
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
          Identifiers:
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            – TitleFull: Journal of Applied Statistics
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