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Lecture
Parameter Estimation
Description
This lecture covers the fundamental concepts of statistical inference related to parameter estimation. It explains the difference between population and sample, the role of statistics and parameters, and the process of point estimation. The instructor discusses the bias and variance of estimators, providing examples of unbiased estimators for a given parameter. The lecture also delves into the estimation of the mean using independent random variables, emphasizing the importance of mathematical models and parameters in statistical inference.
Official source
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