Mathematics Physical Sciences Science & Technology Statistics & Probability
We consider the tail behavior of random variables R which are solutions of the distributional equation R (d)= Q + M R, where (Q. M) is independent of R and vertical bar M vertical bar <= 1. Goldie and Grubel showed that the tails of R are no heavier than exponential and that if Q is bounded and M resembles near I the uniform distribution, then the tails of R are Poissonian. In this paper, we further investigate the connection between the tails of R and the behavior of M near 1. We focus on the special case when Q is constant and M is nonnegative.