Nonparametric data analysis in statistical science

统计科学中的非参数数据分析

• 批准号: DP140100125
• 负责人: Prof Aurore Delaigle
• 金额: $ 29万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140100125
• 关键词: Nonparametric; data; analysis; statistical; science

Changes in technology have enabled new types of data to be collected, often more complex and in much larger quantities than ever before, and altered fundamentally the types of questions that need to be asked of those data. The research program will develop new statistical methods for analysing new types of data, for example functional data and data with many dimensions, and will also introduce greatly improved solutions to problems that involve more conventional data types. These techniques will have critical applications to diverse fields. The program will contribute substantially to capacity building in a strategically important area, statistical science, of great value to Australia but where chronic skills shortages exist.

技术的变化使新类型的数据得以收集，这些数据往往比以往任何时候都更复杂，数量也大得多，并从根本上改变了需要对这些数据提出的问题类型。该研究计划将开发新的统计方法，用于分析新的数据类型，例如功能数据和多维数据，并将为涉及更传统数据类型的问题引入大大改进的解决方案。这些技术将在不同的领域有重要的应用。该项目将为具有重要战略意义的统计科学领域的能力建设做出重大贡献，该领域对澳大利亚具有重大价值，但长期存在技能短缺问题。