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Lecture
Sampling Distributions: Estimators and Variance
Description
This lecture discusses the estimation of parameters in statistical models, focusing on measures of performance such as Mean Squared Error (MSE) and unbiased estimators. It covers topics like the Fisher information, Cramér-Rao lower bound, and the Rao-Blackwell Theorem, emphasizing the importance of sufficiency in improving estimation performance.
Official source
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