首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Robustness of weighted L p–depth and L p–median
Authors:Yijun Zuo
Institution:(1) Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA
Abstract:Summary: L p –norm weighted depth functions are introduced and the local and global robustness of these weighted L p –depth functions and their induced multivariate medians are investigated via influence function and finite sample breakdown point. To study the global robustness of depth functions, a notion of finite sample breakdown point is introduced. The weighted L p –depth functions turn out to have the same low breakdown point as some other popular depth functions. Their influence functions are also unbounded. On the other hand, the weighted L p –depth induced medians are globally robust with the highest possible breakdown point for any reasonable estimator. The weighted L p –medians are also locally robust with bounded influence functions for suitable weight functions. Unlike other existing depth functions and multivariate medians, the weighted L p depth and medians are easy to calculate in high dimensions. The price for this advantage is the lack of affine invariance and equivariance of the weighted L p depth and medians, respectively.*The author thanks the referees for their very insightful and constructive comments and suggestions which led to corrections and substantial improvements. Supported in part by NSF Grants DMS-0071976 and DMS-0134628.
Keywords:Breakdown point  depth function  efficiency  equivariance  influence function                  L                                  p                  norm  median  robustness
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号