Weak convergence for weighted empirical processes of dependent sequences

成果类型:
Article
署名作者:
Shao, QM; Yu, H
署名单位:
Western University (University of Western Ontario)
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
发表日期:
1996
页码:
2098-2127
关键词:
quantile processes mixing sequences moment bounds inequalities approximations
摘要:
In this paper we establish weak convergence theorems for weighted empirical processes of strong mixing, rho-mixing and associated sequences. We apply these results to obtain Freak convergence of integral functionals of empirical processes and of mean residual life processes in reliability theory. To carry out the proofs, we develop two Rosenthal-type inequalities for strong mixing and associated sequences.