Lecture

Bias and Variance in Estimation

Description

This lecture covers the concepts of bias and variance in statistical estimation, including the mean square error (MSE) and the efficiency of estimators. It discusses the trade-off between bias and variability, illustrated through examples of different estimators in various scenarios.

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