Q10Section I (Objective (Q1–Q80))10 of 80

MVB estimator of $\sigma^2$

A random sample $x_1,x_2,\dots,x_n$ is taken from a normal population with mean $0$ and variance $\sigma^2$ , that is, $X\sim N(0,\sigma^2)$ . The minimum variance bound (MVB) estimator for $\sigma^2$ is:

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