ASYMPTOTIC EXPANSIONS FOR THE MOMENTS OF A RANDOMLY STOPPED AVERAGE

被引:35
作者
ARAS, G [1 ]
WOODROOFE, M [1 ]
机构
[1] UNIV MICHIGAN,DEPT STAT,ANN ARBOR,MI 48109
关键词
ANSCOMBE THEOREM; MARTINGALES; MAXIMAL INEQUALITIES; NONLINEAR RENEWAL THEORY; SEQUENTIAL ESTIMATION; STOPPING TIMES; RISK FUNCTIONS;
D O I
10.1214/aos/1176349039
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
Let S1, S2, ... denote a driftless random walk with values in an inner product space W; let Z1, Z2, ... denote a perturbed random walk of the form Z(n) = n + [c, S(n)] + xi(n), n = 1, 2, ..., where xi1, xi2, ... are slowly changing, [. , .] denotes the inner product, and c is-an-element-of W; and let t = t(alpha) = inf{n greater-than-or-equal-to 1: Z(n) > a} for 0 less-than-or-equal-to a < infinity. Conditions are developed under which the first four moments of X(t)BAR, := S(t)/t have asymptotic expansions, and the expansions are found. Stopping times of this form arise naturally in sequential estimation problems, and the main results may be used to find asymptotic expansions for risk functions in such problems. Examples of such applications are included.
引用
收藏
页码:503 / 519
页数:17
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