课题基金 / 基金详情

Postdoctoral Fellows at the National Institute of Statistical Sciences

Postdoctoral Fellows at the National Institute of Statistical Sciences
国立统计科学研究所博士后
批准号:
9711365
负责人:
Jerome Sacks
金额:
$40.03万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-09-15 至 2001-08-31

项目摘要

项目成果

Jerome Sacks的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
This award will support a postdoctoral program in cross-disciplinary research at the National Institute of Statistical Sciences (NISS). Six Fellows will be appointed, for periods of two or three years, to work on existing or prospective NISS projects (located at NISS headquarters or elsewhere), with some teaching responsibilities (at a Research Triangle university or elsewhere). The planned program builds on the intensity, depth, scientiflc breadth and national scope of NISS' current, NSF-funded Junior Fellows program, adding emphases on project development and new forms of institutional support. Junior Fellows will participate in projects that span current and prospective NISS interests, including environment, education, transportation, software development, large data sets, drug design and insurance. These projects involve virtually all aspects of statistical science. Participating senior researchers and junior scientists are drawn nationwide from the statistics and relevant scientific communities, and will serve as collaborators and mentors for the Junior Fellows. Reflecting NISS' close relationship with the Research Triangle universities (Duke, North Carolina State and the University of North Carolina at Chapel Hill), four distinguished statisticians will serve as Liaisons with Department Programs: James 0. Berger (Arts and Sciences Professor, Statistics and Decision Sciences, Duke), Peter Bloomfield (Professor, Statistics, NCSU), Richard L. Smith (Professor, Statistics, UNC) and Francoise Seillier-Moiseiwitsch (Associate Professor, Biostatistics, UNC).
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Framework for Statistical Evaluation of Complex Computer Models
Workshop on Statistics and Information Technology
Pilot Projects to Explore Large Data Sets
Analysis, Exploration and Inference in Large Educational Data Sets
海外基金