Exploring Ee375 Lecture 14b Bootstrap Basics
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Covers the basis concepts of bootstrapping, which is a Monte Carlo method for estimating parameter uncertainty when using ... Covers the concepts and R implementation of parametric bootstrapping, and wraps up our discussion with Covers the basic concepts of nonparameteric bootstrapping, resampling, and how to implement them in R. In this video we stop to look at the big picture of what we've covered on statistical modeling (linear models, maximum likelihood, ...
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