Transformation technique for continuous random variables

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  • Опубліковано 15 вер 2024
  • Transformation technique for continuous random variables

КОМЕНТАРІ • 9

  • @lilagraham6481
    @lilagraham6481 3 роки тому +1

    Lawrence, you are my go-to whenever I get stuck. You are so much clearer than most of what's out there. You make this stuff seem like simple arithmetic. Thank you thank you!

  • @aaronwang4868
    @aaronwang4868 4 роки тому +2

    Thank you. You saved me from the terrible textbook I have

  • @jessamaelastimoso1448
    @jessamaelastimoso1448 2 роки тому

    Thank you, Laurence.

  • @kautukraj
    @kautukraj 3 роки тому +1

    Very helpful, thank you.

  • @v.p22709
    @v.p22709 3 роки тому

    This is a very good video. You proove that F_Y(y)=F_X(g^-1(y)) and then you derive F_Y(y) by dy and by chain rule you first get the pdf and you multiply it then by 1/g'(y) which is the derivative of g^-1(y).

  • @MusicKnowte
    @MusicKnowte 4 роки тому

    Should the theorem say 1-1 (meaning injective) or bijective?

    • @commerzgandalf
      @commerzgandalf Рік тому

      bijective, or else you won't have an inverse

  • @jiayiluo9260
    @jiayiluo9260 3 роки тому

    what if the function is non-monotonic ? and what if it's the case of two to one?