Computer network enhancement

计算机网络增强

• 批准号: 406363-2011
• 负责人: McNeney, WilliamBradley(Brad)
• 金额: $ 1.57万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments - Category 1 (<$150,000)
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=472451
• 关键词: Computer; network; enhancement

Modern methods for analyzing data and quantifying uncertainty rely on substantial statistical computation. Such uncertainty is ubiquitous. Statisticians at Simon Fraser University use intense computation to estimate the sizes of spawning fish runs and grizzly bear populations, to understand genetic influences on diabetes, to design industrial experiments to maximize the information obtained per dollar of outlay by a company, to map the spatial distribution of diseases and identify health districts worthy of scrutiny, to test for the existence of new particles in high energy physics data, to understand the structure of social networks.

分析数据和量化不确定性的现代方法依赖于大量的统计计算。这种不确定性无处不在。西蒙·弗雷泽大学（Simon Fraser University）的统计学家使用密集的计算来估计产卵鱼群和灰熊种群的规模，了解遗传对糖尿病的影响，设计工业实验以最大限度地利用公司每一美元支出获得的信息，绘制疾病的空间分布地图并确定值得仔细检查的卫生区域，测试高能物理数据中是否存在新粒子，了解社会网络的结构。