Model selection with AIC and AICc

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  • Опубліковано 15 лис 2024

КОМЕНТАРІ • 8

  • @tuskofgothos2637
    @tuskofgothos2637 Рік тому +3

    These videos are seriously invaluable!

  • @CanDoSo_org
    @CanDoSo_org Рік тому +4

    Thanks. You are so good at explaining.

  • @iurgnail
    @iurgnail Рік тому +1

    awesome video! clear and informative, accurate to the video title

  • @monizealtomare8307
    @monizealtomare8307 Рік тому +2

    Nice explanation! Thanks

  • @johannamartinez5463
    @johannamartinez5463 2 роки тому +1

    Thanks!! good explanation

  • @mrs.rajasreenandi8858
    @mrs.rajasreenandi8858 Місяць тому

    I have used three models for carbon estimation and i want to select best model among these three using multiple logistic regression for carbon storage in urban forest. I have dbh, height as independent variable and carbon data as dependent variable for each 136 tree species. Can i use this regression? Pls inform me. Thank you.

    • @tilestats
      @tilestats  Місяць тому +1

      Logistic regression should only be used if the dependent variable has a binary scale as shown in this video:
      ua-cam.com/video/yhogDBEa0uQ/v-deo.html

    • @mrs.rajasreenandi8858
      @mrs.rajasreenandi8858 Місяць тому

      @@tilestats many thanks for your suggestion. Can you pls inform me how to arrange quantitative data for multiple linear regression or any video link, pls suggest.