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Abstract
The problem of minimising E(X) subject to the constraints X ⩾ 0, P(X ⩾ b) ⩾ a(0 < a < 1) has been considered, where b is a non-negative random variable with continuous probability distribution. A necessary and sufficient condition for randomised decisions to be superior to the non-randomised one has been derived.