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Lecture
Optimization and Simulation
Description
This lecture covers statistical analysis and bootstrapping in the context of optimization and simulation. Topics include deriving statistics from random variables, sample mean and variance, mean square error, empirical distribution function, and bootstrapping methods. The instructor explains how to estimate parameters of a distribution, compute mean square error, and use simulation techniques to improve precision.
Official source
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