  In this paper, we consider the problem of parameter estimating for a family
of exponential distributions. We develop the improved estimation method, which
generalized the James--Stein approach for a wide class of distributions. The
proposed estimator dominates the classical maximum likelihood estimator under
the quadratic risk. The estimating procedure is applied to special cases of
distributions. The numerical simulations results are given.
