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

小行星9626843 数学领域的产学研合作研究 科学是旨在建立数学交流机制的计划。 学术界和工业界之间的科学家在他们职业生涯的不同阶段。这些 计划将加强工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。大学与产业 博士后研究奖学金为最近的获奖者提供两年的支持， 数学科学博士学位。这些奖项是一种贡献的手段 国家未来的科学活力。博士后将 与学术界和工业界的科学顾问密切合作。 博士后研究员将在William H.费尔纳在 杜邦和大卫M.洛克在加州大学戴维斯分校。这项研究是为了 通过识别多个聚类来改进多变量数据的分析， 异常值这位研究员将参与统计理论的发展， 分析所需的方法和算法。

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.