Using Monte Carlo simulations to generate confidence intervals in R

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  • čas přidán 28. 09. 2016
  • Note (Sept 2019): New link to data datadryad.org/...
    This demonstrates the basic approach to using monte carlo simulations to generate confidence intervals (sometimes called the parametric bootstrap) using the R programming language.

Komentáře • 10

  • @peterapiar3673
    @peterapiar3673 Před 7 lety +1

    Up to now the best tuts I found. Thank you for great job !

    • @iandworkin1347
      @iandworkin1347  Před 7 lety +1

      thanks! I actually think the datacamp tutorials are even better than mine!

  • @soumikchatterjee3996
    @soumikchatterjee3996 Před 6 lety

    Really helpful. Thanks

  • @valor36az
    @valor36az Před 4 lety

    Thank you

  • @surajbhagat2672
    @surajbhagat2672 Před 4 lety

    thank you so much for wonderful and easy to understand presentation, however, this is not for uncertainty purpose then would you like to enlighten how to do that, please?

    • @iandworkin1347
      @iandworkin1347  Před 4 lety

      Do you mean just for doing a monte carlo simulation for say a power analysis sort of approach (or simulations to develop theory)?

  • @guerschommugisho5569
    @guerschommugisho5569 Před 4 lety

    Dear Sir, I'm trying to run this program but I get this error message
    SimReg1

  • @vishalaaa1
    @vishalaaa1 Před 4 lety

    Please take a scenario and explain.

  • @guerschommugisho5569
    @guerschommugisho5569 Před 4 lety

    Is it possible to get your script?

    • @iandworkin1347
      @iandworkin1347  Před 4 lety

      I am hoping to put all of them in a github repo. These videos are all from a class I taught 8 years ago...