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Asymptotic behavior of tail and local probabilities for sums of subexponential random variables
2004
Journal of Applied Probability
Let {X k , k ≥ 1} be a sequence of independently and identically distributed random variables with common subexponential distribution function concentrated on (−∞, ∞), and let τ be a nonnegative and integer-valued random variable with a finite mean and which is independent of the sequence {X k , k ≥ 1}. This paper investigates asymptotic behavior of the tail probabilities P(· > x) and the local probabilities P(x < · ≤ x + h) of the quantities and for n ≥ 1, and their randomized versions X
doi:10.1239/jap/1077134671
fatcat:thl7tuap3fhi7oada4dwbmws64