Mathematical Sciences: Generalized Linear Models

数学科学：广义线性模型

• 批准号: 9101333
• 负责人: Peter McCullagh
• 金额: $ 14.67万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-07-01 至 1994-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9101333&HistoricalAwards=false
• 关键词: Mathematical; Sciences; Generalized; Linear; Models

The ability to describe complex bodies of data by mathematical models is an essential and challenging task. The investigator of this award expands the horizon for model fitting. The work on generalized model fitting is expected to have great impact on data analysis. The investigation will consider the estimation of nuisance dispersion parameters by partially Bayes methods. It will also examine the relationship between the adjusted profile likelihood and the modified profile likelihood methods.

通过数学模型描述复杂数据体的能力是一项基本且具有挑战性的任务。这一奖项的研究人员拓展了模型拟合的视野。广义模型拟合的工作有望对数据分析产生重大影响。调查将考虑用部分贝叶斯方法估计公害扩散参数。它还将检查调整后的轮廓似然方法和修正的轮廓似然方法之间的关系。