THE MAXIMUM-LIKELIHOOD METHOD FOR TESTING CHANGES IN THE PARAMETERS OF NORMAL OBSERVATIONS

成果类型:
Article
署名作者:
HORVATH, L
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1176349143
发表日期:
1993
页码:
671-680
关键词:
Change-point sequence
摘要:
We compute the asymptotic distribution of the maximum likelihood ratio test when we want to check whether the parameters of normal observations have changed at an unknown point. The proof is based on the limit distribution of the largest deviation between a d-dimensional Ornstein-Uhlenbeck process and the origin.