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Asymptotic approximation of misclassification probabilities in linear discriminant analysis with repeated measurements

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  • المؤلفون: Ngailo, Edward K.; von Rosen, Dietrich; Singull, Martin
  • نوع التسجيلة:
    Electronic Resource
  • الدخول الالكتروني :
    http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-182811
    Acta et Commentationes Universitatis Tartuensis de Mathematica, 1406-2283, 2021, 25:1, s. 67-85
  • معلومة اضافية
    • Publisher Information:
      Linköpings universitet, Tillämpad matematik Linköpings universitet, Tekniska fakulteten Univ Dar Es Salaam, Tanzania Swedish Univ Agr Sci, Sweden UNIV TARTU PRESS 2021
    • نبذة مختصرة :
      We propose asymptotic approximations for the probabilities of misclassification in linear discriminant analysis when the group means follow a growth curve structure. The discriminant function can classify a new observation vector of p repeated measurements into one of several multivariate normal populations with equal covariance matrix. We derive certain relations of the statistics under consideration in order to obtain asymptotic approximation of misclassification errors for the two group case. Finally, we perform Monte Carlo simulations to evaluate the reliability of the proposed results.
      Funding Agencies|Swedish Research CouncilSwedish Research CouncilEuropean Commission [2017-03003]
    • الموضوع:
    • الرقم المعرف:
      10.12697.ACUTM.2021.25.05
    • Availability:
      Open access content. Open access content
      info:eu-repo/semantics/openAccess
    • Note:
      application/pdf
      English
    • Other Numbers:
      UPE oai:DiVA.org:liu-182811
      0000-0001-9896-4438
      doi:10.12697/ACUTM.2021.25.05
      ISI:000746078400005
      1346283799
    • Contributing Source:
      UPPSALA UNIV LIBR
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.on1346283799
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