Abstract
Let x be a random variable whose distribution is an unknown mixture of exponentials with different means theta. From a random sample x(1),...,x(n) of x values we show that E(thetax > a) can be estimated for any given a > 0. We can therefore predict the average of all future observations taken on those x values in the sample that exceed a.
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