Estimating Using Statistics That Assume a Finite Number of Values

The authors take up the problem of estimating an unknown parameter $\theta$ by using statistics that can assume not more that $L$ different values. A lower bound is obtained for the mean-square estimation accuracy as the number of observations $n\to\infty$ and $L\to\infty$, and the estimate is constructed whose risk coincides with this bound in the principal terms.