Fundamentals of Mathematical Statistics, Unbiased Estimators, Simulation

Описание: Learn the basic fundamentals of mathematical statistics in this fun lecture where statistical principles are demonstrated both with simulation and with theory! Learn what it means for an estimator, such as the sample mean X̅, to be an unbiased estimator for the population mean μ, which is a population parameter. For the sample variance S^2, we need to divide by n - 1 to make it an unbiased estimator for the population variance σ^2. Simulations are done using ProbabilityDistribution and RandomVariate in Wolfram Mathematica.

Probability and Statistics, Lecture 18

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