Some Problems in Nonparametric Statistics

非参数统计中的一些问题

• 批准号: 0604698
• 负责人: Peter Hall
• 金额: $ 34.5万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0604698&HistoricalAwards=false
• 关键词: Some; Problems; Nonparametric; Statistics

ABSTRACTMotivated by today's extraordinary opportunities for computer-intensive statistical analysis, and by the myriad new problems that new data types pose, new statistical techniques are being introduced at an extraordinary pace. Many of them lead directly to novel, nonparametric approaches to data analysis, where the conception and appreciation, and even the applications, often demand sophisticated and complex theoretical methods. The new, nonparametric techniques involve minimal structural assumptions and use the data in highly adaptive ways.In this context, the research supported by this grant will address six projects, motivated by potential applications to astronomy, economics, engineering, defence, health science and image analysis. This diversity illustrates the substantial importance and potential, and strategic significance, of nonparametric statistics. The research program will draw together new theoretical methods, a wide range of ideas for developing solutions to diverse practical problems, and the intellectual perception and insight that these attributes will bring.

当今的非凡机会进行计算机密集型统计分析以及新数据类型构成的无数新问题，正在以非凡的速度引入新的统计技术。 他们中的许多人直接导致了新型的非参数方法进行数据分析，其中概念和欣赏甚至应用程序通常都需要复杂而复杂的理论方法。 新的非参数技术涉及最少的结构假设，并以高度适应性的方式使用数据。在这种情况下，本赠款支持的研究将解决六个项目，这是由于潜在的适用于天文学，经济学，工程，国防，健康，健康科学和图像分析的动机。 这种多样性说明了非参数统计的重要性和潜力和战略意义。 该研究计划将汇集新的理论方法，为开发各种实际问题的解决方案以及这些属性所带来的智力感知和见解的广泛思想。