Hauptkomponentenanalyse (PCA)

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  • เผยแพร่เมื่อ 12 ธ.ค. 2024

ความคิดเห็น • 8

  • @leixu7116
    @leixu7116 4 ปีที่แล้ว

    10:18, eine kleine Fehler für Kommunalitätenberechnung, es soll h1^2 = alpha11^2 + alpha12^2 sein, nicht Summe von Quadieren von a.

  • @089sailboot1
    @089sailboot1 8 ปีที่แล้ว +2

    "R-Welle" 😅🙊

    • @zilezile4942
      @zilezile4942 4 ปีที่แล้ว

      You have difficulty understanding the statistical models and programming them with the R software; You have difficulty understanding where the main components come from when you do principal component analysis; You need to discover the statistics for functional data in particular the analysis in functional principal components; you have no idea how to model by functional linear model ... You like clear and detailed explanations. Click on this link to find out more amikour.wordpress.com/nos-formations/

    • @089sailboot1
      @089sailboot1 4 ปีที่แล้ว

      @@zilezile4942 thanks, but I have my master degree in frequentistic stats

    • @089sailboot1
      @089sailboot1 4 ปีที่แล้ว

      Mein Kommentar bezog sich darauf, dass die reproduzierte Korrelationsmatrix ja wohl nicht R-welle sondern R Tilde genannt wird

  • @FridolinH
    @FridolinH 4 ปีที่แล้ว +3

    nix verstanden. anschaulich geht anders

    • @zilezile4942
      @zilezile4942 4 ปีที่แล้ว

      You have difficulty understanding the statistical models and programming them with the R software; You have difficulty understanding where the main components come from when you do principal component analysis; You need to discover the statistics for functional data in particular the analysis in functional principal components; you have no idea how to model by functional linear model ... You like clear and detailed explanations. Click on this link to find out more amikour.wordpress.com/nos-formations/