For a biased estimator θ̂ of θ, which relation is correct?
Correct answer D. MSE(θ̂) = Var(θ̂) + Bias²
Explanation
The mean square error equals E(θ̂ − θ)², which splits into the variance of θ̂ plus the square of its bias.
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