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1. Why Bootstrap? 

Christina Knudson
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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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10 авг 2017

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Комментарии : 7   
@MrCigarro50
@MrCigarro50 6 лет назад
You explain things clearly. Your skill and knowledege are fantastic. Thank you.
@elbyadhamza2007
@elbyadhamza2007 5 лет назад
Well done ! Thank you
@aimanhalim5430
@aimanhalim5430 6 лет назад
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. :-)
@ProfessorKnudson
@ProfessorKnudson 5 лет назад
It's helpful to distinguish between creating the regression equation (e.g. y = x beta + epsilon) and follow-up analyses, such as creating confidence intervals for the regression coefficients. Bootstrapping can definitely be used to create non-parametric confidence intervals in the MLR setting.
@ismailay.jammeh6698
@ismailay.jammeh6698 5 лет назад
Thanks! this video help me a lot to understand bootstrap.
@ProfessorKnudson
@ProfessorKnudson 5 лет назад
I'm happy to hear it!
@BYAlzerjawy
@BYAlzerjawy 6 лет назад
I wish you were my tutor as you maded so easy.
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