ON THE BOOTSTRAP OF U-STATISTICS AND V-STATISTICS

• 成果类型: Article
• 署名作者: ARCONES, MA; GINE, E
• 署名单位: University of Connecticut; City University of New York (CUNY) System
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/aos/1176348650
• 发表日期: 1992
• 页码: 655-674
• 关键词: symmetric statistics

摘要

Bootstrap distributional limit theorems for U and V statistics are proved. They hold a.s., under weak moment conditions and without restrictions on the bootstrap sample size (as long as it tends to infinity), regardless of the degree of degeneracy of U and V. A testing procedure based on these results is outlined.