Bootstrap methods for data with multiple errors

针对存在多个错误的数据的引导方法

• 批准号: DP0559135
• 负责人: Prof Alan Welsh
• 金额: $ 18.56万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0559135
• 关键词: Bootstrap; methods; data; multiple; errors

This project will provide new methods for data analysis and quality research training. The results will benefit researchers in statistics and users of statistics who encounter data with multiple errors and who need to make inferences from these data. The many areas from which such data arise (including medicine, genetics, chemistry, education, social surveys etc) mean that Australia and Australian Industry will also ultimately benefit from the research. The strengthening of international links and the training of highly trained researchers will also benefit the Australian community.

该项目将为数据分析和质量研究培训提供新方法。 这些结果将有利于统计学研究人员和统计数据的用户，他们遇到了多个错误的数据，并且需要从这些数据中进行推断。 此类数据产生的许多领域（包括医学、遗传学、化学、教育、社会调查等）意味着澳大利亚和澳大利亚工业界最终也将从这项研究中受益。 加强国际联系和培训训练有素的研究人员也将使澳大利亚社会受益。