INVARIANCE PRINCIPLES FOR DEPENDENT VARIABLES

被引:121
作者
MCLEISH, DL [1 ]
机构
[1] UNIV ALBERTA,DEPT MATH,EDMONTON,ALBERTA,CANADA
来源
ZEITSCHRIFT FUR WAHRSCHEINLICHKEITSTHEORIE UND VERWANDTE GEBIETE | 1975年 / 32卷 / 03期
关键词
D O I
10.1007/BF00532611
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
引用
收藏
页码:165 / 178
页数:14
相关论文
共 15 条
[1]  
Billingsley P, 1968, CONVERGENCE PROBABIL
[2]   MARTINGALE CENTRAL LIMIT THEOREMS [J].
BROWN, BM .
ANNALS OF MATHEMATICAL STATISTICS, 1971, 42 (01) :59-&
[3]   INVARIANCE PRINCIPLE FOR STATIONARY PROCESSES [J].
DAVYDOV, YA .
THEORY OF PROBILITY AND ITS APPLICATIONS,USSR, 1970, 15 (03) :487-&
[4]  
DAVYDOV YA, 1968, THEOR PROBABILITY AP, V8, P691
[5]  
Doob J. L., 1953, STOCHASTIC PROCESSES, V101
[6]  
DVORETZKY A, 1972, 6TH P BERK S MATH ST, P513
[7]  
Feller W., 2008, INTRO PROBABILITY TH
[8]  
HEYDE CC, TO BE PUBLISHED
[9]  
KNOPP K, 1941, THEORY APPLICATION I
[10]   CENTRAL LIMIT THEOREM FOR BACKWARDS MARTINGALES [J].
LOYNES, RM .
ZEITSCHRIFT FUR WAHRSCHEINLICHKEITSTHEORIE UND VERWANDTE GEBIETE, 1969, 13 (01) :1-&