Computing Environments for Statistics

统计计算环境

• 批准号: 0305226
• 负责人: Luke-jon Tierney
• 金额: $ 29.57万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0305226&HistoricalAwards=false
• 关键词: Computing; Environments; Statistics

Proposal ID DMS-0305226PI Luke-jon TierneyTitle Computing environments for statisticsAbstractThe investigator explores and develops new principles for the design of statistical software to take advantage of modern computing power. Particular emphasis is placed on exploring the effective use of compilation, name space management, and exception handling for statistical languages, and on developing effective tools and frameworks for parallel computing in statistics. Pilot implementations are incorporated in open source statistical software systems.Effective statistical methodology made available through statistical software is critical to the ability of researchers to make maximal use of experimental and observational data, and for the ability of instructors to teach good research practices. The design principles developed by this research lead to software that improves the ability of researchers, instructors, and other users of statistical methodology to apply this methodology more effectively in scientific research and teaching. These principles also lead to software frameworks that can be used to more rapidly deliver new statistical methodology to end users.

提案 ID DMS-0305226PI Luke-jon Tierney 标题统计计算环境摘要研究者探索并开发了统计软件设计的新原则，以利用现代计算能力。特别强调探索统计语言的编译、命名空间管理和异常处理的有效使用，以及开发统计并行计算的有效工具和框架。 试点实施已纳入开源统计软件系统中。通过统计软件提供的有效统计方法对于研究人员最大限度地利用实验和观察数据的能力以及教师教授良好研究实践的能力至关重要。 这项研究开发的设计原则所开发的软件可以提高研究人员、教师和统计方法的其他用户在科学研究和教学中更有效地应用该方法的能力。 这些原则还带来了可用于更快地向最终用户提供新统计方法的软件框架。