Transformations: Product of Uniform Random Variables

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  • Опубликовано: 18 ноя 2024
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Комментарии • 9

  • @hyper_pigeon
    @hyper_pigeon 11 месяцев назад +2

    I couldn't solve it on my own, so thank you for this video and you.

    • @statisticsmatt
      @statisticsmatt  11 месяцев назад +1

      You're so welcome. I love hearing that the videos are helpful. Many thanks for watching. Don't forget to subscribe and let others know about this channel.

  • @greivinalfaro8339
    @greivinalfaro8339 Год назад

    Hello! How the distribution would change if the limits of integrarion where alpha to beta, instead of 1 to beta?

    • @statisticsmatt
      @statisticsmatt  Год назад

      What point in the video are you referring to? Many thanks for watching. Don't forget to subscribe and let others know about this channel.

    • @greivinalfaro8339
      @greivinalfaro8339 Год назад

      @@statisticsmatt no, Im asking the answer might change with a different range for the uniform distribution

    • @statisticsmatt
      @statisticsmatt  Год назад

      Then the problem becomes much more interesting! May have to consider cases. (1) alpha

  • @basicstatistics2693
    @basicstatistics2693 3 года назад

    greetings sir , this video was very helpful.
    but sir I have an assignment question in which we have to prove that T=(product(xi)^(1/n)) is a consistent estimator of m(e^-1) where x follows uniform(0,m).
    it would be really helpful if you guide me to solve this question.

    • @statisticsmatt
      @statisticsmatt  3 года назад

      As a hint, take the log of T to create a sum. then apply law of large numbers. then exponentiate the results. many thanks for watching and please don't forget to subscribe.

    • @basicstatistics2693
      @basicstatistics2693 3 года назад

      @@statisticsmatt thank you sir , i have already subscribed your channel