University-Industry Cooperative Research Programs in Mathematical Sciences: Outlier and Cluster Idenitification for Multivariate Process Data

9626843数学科学中的大学-产业合作研究计划是旨在为学术界和产业界在其职业生涯的不同阶段交流数学科学家的机制而设计的计划。这些计划将加强产业界和学术界之间的联系，并确定和鼓励数学科学研究的新途径。大学-工业博士后研究奖学金为最近获得数学科学博士学位的人提供两年的支持。这些奖项是为国家科学努力的未来活力做出贡献的一种手段。这位博士后研究员将与学术界和工业界的科学顾问密切合作。这位博士后研究员将在杜邦的威廉·H·费尔纳和加州大学戴维斯分校的大卫·M·洛克的指导下工作。该研究旨在通过识别多个聚类和离群点来改进多变量数据的分析。该研究员将参与分析所需的统计理论、方法和算法的发展。

9626843 Rocke The University-Industry Cooperative Research Programs in the Mathematical Sciences are programs designed to establish a mechanism for exchange of mathematical scientists between academia and industry at different stages of their careers. These programs will strengthen the links between industry and academia and identify and encourage new avenues of research in the mathematical sciences. The University-Industry Postdoctoral Research Fellowships provide two years of support for recent recipients of doctoral degrees in the mathematical sciences. These awards are a means of contributing to the future vitality of the scientific effort of the nation. The postdoctoral fellow will work closely with scientific advisors from both academia and industry. The postdoctoral fellow will work under the direction of William H. Fellner at DuPont and David M. Rocke at the University of California at Davis. The research is to improve the analysis of multivariate data through identification of multiple clusters and outliers. The fellow will be involved in the development of the statistical theory, methodology, and algorithms needed for the analysis.