Tail probability approximations for Student's t-statistics

成果类型:
Article
署名作者:
Zhou, Wang; Jing, Bing-Yi
署名单位:
National University of Singapore; Hong Kong University of Science & Technology
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-005-0494-8
发表日期:
2006
页码:
541-559
关键词:
saddlepoint approximation symmetric statistics Edgeworth Expansion moment conditions
摘要:
In this paper, we derive saddlepoint approximations for Student's t-statistics for strongly nonlattice random variables without moment conditions. Under very mild conditions, we show that saddlepoint equations always have solutions.