Postdoc: Use Parallel Computers to Help Solve Computationally Intensive Problems in Statistical Design and Analysis

博士后：使用并行计算机帮助解决统计设计和分析中的计算密集型问题

• 批准号: 9504041
• 负责人: Janis Hardwick
• 金额: $ 4.62万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9504041&HistoricalAwards=false
• 关键词: Postdoc; Use; Parallel; Computers; Help

9504041 Hardwick This proposal concerns the use of parallel computers to help solve computationally intensive problems in statistical design and analysis. The designs considered are sequential, meaning that a design parameters can be altered during the experiment in response to the observations already gathered. Such designs can offer significant cost benefits, but are insufficiently utilized due to the complex analyses they require and the fact they are complicated to conduct. This research attacks these difficulties by considering procedures that are significantly easier to conduct, yet nearly as optimal. The computations are still a major hurdle, especially because the problem one needs to solve require combining sequential designs and computationally intensive bootstrapping.

9504041 Hardwick 该提案涉及使用并行计算机来帮助解决统计设计和分析中的计算密集型问题。 所考虑的设计是连续的，这意味着可以在实验期间根据已经收集的观察结果改变设计参数。 此类设计可以提供显着的成本效益，但由于它们需要复杂的分析并且执行起来很复杂，因此没有得到充分利用。 这项研究通过考虑更容易执行但几乎是最佳的程序来解决这些困难。 计算仍然是一个主要障碍，特别是因为需要解决的问题需要将顺序设计和计算密集型引导相结合。