  Sufficient conditions for comparing the convolutions of heterogeneous gamma
random variables in terms of the usual stochastic order are established. Such
comparisons are characterized by the Schur convexity properties of the
cumulative distribution function of the convolutions. Some examples of the
practical applications of our results are given.
