Uniform renewal theory with applications to expansions of random geometric sums

被引:18
作者
Blanchet, J. [1 ]
Glynn, P. [2 ]
机构
[1] Harvard Univ, Dept Stat, Cambridge, MA 02138 USA
[2] Stanford Univ, Stanford, CA 94305 USA
关键词
renewal theory; random geometric sum; corrected diffusion approximation;
D O I
10.1239/aap/1198177240
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
Consider a sequence X = (X-n : n >= 1) of independent and identically distributed random variables, and an independent geometrically distributed random variable M with parameter p. The random variable S-M = X-1 + ... +X-M is called a geometric sum. In this paper we obtain asymptotic expansions for the distribution of S-M as p SE arrow 0. If E X-1 > 0, the asymptotic expansion is developed in powers of p and it provides higher-order correction terms to Renyi's theorem, which states that P(pS(M) > x) approximate to exp(-x/EX1). Conversely, if E X-1 = 0 then the expansion is given in powers of root p. We apply the results to obtain corrected diffusion approximations for the M/G/1 queue. These expansions follow in a unified way as a consequence of new uniform renewal theory results that are also developed in this paper.
引用
收藏
页码:1070 / 1097
页数:28
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