A law of large numbers and central limit theorem for the logarithm of an autoregressive process with a stationary driving sequence

被引:0
|
作者
Shu, F. C. [1 ]
机构
[1] Univ Buea, Dept Math, Buea, Cameroon
关键词
STOCHASTIC DIFFERENCE EQUATION; VARIABLES;
D O I
10.1016/j.spl.2008.11.027
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 (xi, eta, v) = {(xi(i), eta i(,) v(i))}(i is an element of z) be a stationary and ergodic sequence in R-3. Consider the autoregressive process defined by, R-0(xi, eta, v) = eta(0) and R-n(xi, eta, v) = xi R-n(n-1) (xi, eta, v) + eta(n)v(n), ... , v(1), n >= 1. We give conditions under which lim(n ->infinity) (1/n) In |R-n(xi, eta, v)| exists a.s. and at the same time, E In |xi(0)| < E In |v(0)|. We also generalize a Central Limit Theorem of Szekely for this process. (C) 2009 Published by Elsevier B.V.
引用
收藏
页码:1141 / 1145
页数:5
相关论文
共 50 条