Transformation technique for bivariate continuous random variables -- Example 1

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  • Опубликовано: 1 окт 2024
  • Transformation technique for bivariate continuous random variables -- Example 1

Комментарии • 10

  • @dragosmanailoiu9544
    @dragosmanailoiu9544 5 лет назад +16

    Video is missing the most important part which is how to find the support of the transformed RV

  • @vikrantbhattacharjee
    @vikrantbhattacharjee 5 лет назад +2

    4:04 mins.... can you kindly explain how are you plotting the graphs?

    • @yaweli2968
      @yaweli2968 4 года назад

      vikrant bhattacharjee The graph is easy, it’s the integration to get Y1 that’s tricky. For Y1=x1+x2, choose all possible values for 0

  • @jorgeafb3938
    @jorgeafb3938 2 года назад

    Hi! Could you recommend me a bibliography where I can find this procedure and more detail? Thank you!

  • @rolfjohansen5376
    @rolfjohansen5376 4 года назад

    I which I could understand your dummy transformation!!!!

  • @michaelcao9483
    @michaelcao9483 5 лет назад

    Hi Lawrence. Great video. I don't understand when you would use this approach and the convolution of two functions approach (which is also the sum of two independent r.v). Wouldn't both the bivariate transformation and convolution probability yield the same results?

  • @meghnamahato6858
    @meghnamahato6858 6 лет назад

    What if X and Y follows exponential distribution then X|X+Y follows what?

  • @ushakumari6828
    @ushakumari6828 6 лет назад

    Is you have an example of direct method for solving two random variables

  • @jackiecervantes3145
    @jackiecervantes3145 8 лет назад +2

    great video!

  • @vikrantbhattacharjee
    @vikrantbhattacharjee 5 лет назад

    awesome video!!!! pls keep doing this wonderful stuff!