Self-Validation Methods in Statistical Computing

统计计算中的自我验证方法

• 批准号: 8907940
• 负责人: William Kennedy
• 金额: $ 5.94万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-07-01 至 1991-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8907940&HistoricalAwards=false
• 关键词: Self; Validation; Methods; Statistical; Computing

This research is concerned with the development of self-validating algorithms for computing probabilities in selected continuous univariate and multivariate probability distributions. Self-validating numerical methods are needed because of the difficulty in assessing the accuracy of results obtained in large-scale computing from standard methods. Toward this end, interval analysis will be used in the development of these algorithms as well as rounded interval arithmetic in an IBM compatible microcomputer.

本研究关注的是 计算概率的自验证算法 选择连续单变量和多变量概率 分布。 需要自我验证的数值方法 由于难以评估结果的准确性， 从标准方法中获得的大规模计算。 为此，将在本报告中使用区间分析。 这些算法的发展以及舍入间隔 IBM兼容微型计算机中的算术。