Example: stock market
Lecture 6: Minimum Variance Unbiased Estimators
the smallest variance of all possible estimators over all possible values of θ, i.e., Var Y[bθMV UE(Y)] ≤ Var Y[θe(Y)], (2) It is important to note that a uniformly minimum variance unbiased estimator may not always exist, and even if it does, we may not be able to find it. There is not a single method that will always produce the MVUE.
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