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What is Best Linear Unbiased Estimators Explained about?

This document discusses best linear unbiased estimators (BLUE) when the probability density function (PDF) of the data is unknown. It introduces restricting estimators to be linear and finding the minimum variance unbiased estimator within this class. The optimality of BLUE is discussed. BLUE can be applied to problems with linear models even without assuming Gaussian noise, as long as the first two moments of the data are known. BLUE can also be generalized to estimate vector parameters.

Author

probability2

Language

EN