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Lecture
Point Estimation Methods: MOM and MLE
Description
This lecture covers the methods of point estimation, including method of moments (MOM) and method of maximum likelihood (MLE). It discusses the properties of MLEs, confidence intervals, bias, variance, mean square error, and the tradeoff between bias and variance. The lecture also explains moments, advantages, disadvantages, and examples of MOM. It concludes with scenarios where MOM may not provide meaningful estimations.
Official source
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