• Tuesday , 26 May 2020

1. Why Bootstrap?

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Bootstrapping uses the observed data to simulate resampling from the population. This produces a large number of bootstrap resamples. We can calculate a statistic for each bootstrap resample and use the distribution of the simulated statistics to approximate characteristics of the population. This video lays the foundation for later bootstrap videos.

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7 Comments

  1. Elbyad Hamza
    April 13, 2019 at 15:18

    Well done ! Thank you

  2. Ismaila Y. Jammeh
    April 13, 2019 at 15:18

    Thanks!
    this video help me a lot to understand bootstrap.

  3. gloriousholy
    April 13, 2019 at 15:18

    Awesome explanation! Thanks

  4. Mihai A. Constantin
    April 13, 2019 at 15:18

    Great intro! Thanks!

  5. Esteban Burguete
    April 13, 2019 at 15:18

    You explain things clearly. Your skill and knowledege are fantastic. Thank you.

  6. BYAlzerjawy
    April 13, 2019 at 15:18

    I wish you were my tutor as you maded so easy.

  7. Aiman Halim
    April 13, 2019 at 15:18

    Thanks for sharing your knowledge. I'm amazed to see you write in that manner, which kind of reminded me of Da Vinci's mirrored writing.

    I've only recently known about bootstrapping and intend to know more. Some people said that bootstrapping is the "non-parametric equivalent of multiple regression".
    I would really appreciate if you could share your opinion concerning this claim. 🙂

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