convolution equivalence;
heavy-tailed distribution;
random sums of random variables;
subexponential distribution;
upper bound;
RANDOM TIME-INTERVAL;
LARGE DEVIATIONS;
LOWER LIMITS;
RANDOM-WALK;
DISTRIBUTIONS;
THEOREMS;
SUBEXPONENTIALITY;
EQUIVALENCES;
BEHAVIOR;
D O I:
10.3150/10-BEJ251
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
We study conditions under which P{S-tau > x} similar to P{M-tau > x} similar to E tau P{xi(1) > x} as x -> infinity, where S-tau is a sum xi(1) + ... + xi(tau) of random size tau and M-tau is a maximum of partial sums M-tau = max(n <=tau) S-n. Here, xi(n), n= 1, 2, ... , are independent identically distributed random variables whose common distribution is assumed to be subexponential. We mostly consider the case where tau is independent of the summands; also, in a particular situation, we deal with a stopping time. We also consider the case where E xi > 0 and where the tail of tau is comparable with, or heavier than, that of xi, and obtain the asymptotics P{S-tau > x) similar to E tau P{xi(1) > x} + P{tau > x/E xi} as x -> infinity. This case is of primary interest in branching processes. In addition, we obtain new uniform (in all x and n) upper bounds for the ratio P{S-n > x}/P{xi(1) > x} which substantially improve Kesten's bound in the subclass S* of subexponential distributions.
机构:
Univ Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, EnglandUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
Chen, Yiqing
Ng, Kai W.
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机构:
Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R ChinaUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
Ng, Kai W.
Yuen, Kam C.
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机构:
Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R ChinaUniv Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England