Reducing non-stationary stochastic processes to stationarity by a time deformation

被引:27
|
作者
Perrin, O [1 ]
Senoussi, R [1 ]
机构
[1] INRA, F-84914 Avignon 9, France
关键词
correlation function; stationary reducibility; weak stationarity;
D O I
10.1016/S0167-7152(98)00278-8
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
A necessary and sufficient condition is given to reduce a non-stationary random process {Z(t): t is an element of T subset of or equal to R} to stationarity via a bijective differentiable time deformation Phi so that its correlation function r(t,t') depends only on the difference Phi(t') - Phi(t) through a stationary correlation function R: r(t,t') = R(Phi(t') - Phi(t)). (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:393 / 397
页数:5
相关论文
共 50 条