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Discriminant Coordinates Analysis In The Case Of Multivariate Repeated Measures Data

Author

Listed:
  • Krzyśko Miroslaw

    (Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Mickiewicz, ; Poland)

  • Łukaszonek ojciech

    (Faculty of Management, President Stanislaw Wojciechowski Higher Vocational State School, Poland)

  • Wolynski Waldemar

    (Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Mickiewicz, ; Poland)

Abstract

The main aim of the paper is to adapt the classical discriminant coordinates analysis to multivariate repeated measures data. The proposed solution is based on the relationship between the discriminant coordinates and canonical variables. The quality of these new discriminant coordinates is examined on some real data.

Suggested Citation

  • Krzyśko Miroslaw & Łukaszonek ojciech & Wolynski Waldemar, 2018. "Discriminant Coordinates Analysis In The Case Of Multivariate Repeated Measures Data," Statistics in Transition New Series, Polish Statistical Association, vol. 19(3), pages 495-506, September.
    • Handle: RePEc:vrs:stintr:v:19:y:2018:i:3:p:495-506:n:3
    DOI: 10.21307/stattrans-2018-027
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    References listed on IDEAS

    as
    1. Tomasz Górecki & Mirosław Krzyśko & Łukasz Waszak & Waldemar Wołyński, 2018. "Selected statistical methods of data analysis for multivariate functional data," Statistical Papers, Springer, vol. 59(1), pages 153-182, March.
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