Limiting distributions for L1 regression estimators under general conditions
成果类型:
Article
署名作者:
Knight, K
署名单位:
University of Toronto
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
发表日期:
1998
页码:
755-770
关键词:
representation
摘要:
It is well known that L-1-estimators of regression parameters are asymptotically normal if the distribution function has a positive derivative at 0. In this paper, we derive the asymptotic distributions under more general conditions on the behavior of the distribution function near 0.