Modeling and Estimation for Electronics and Semiconductor Products

电子和半导体产品的建模和估算

• 批准号: 9803767
• 负责人: Jye-Chyi Lu
• 金额: $ 6.94万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-06-01 至 1999-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9803767&HistoricalAwards=false
• 关键词: Modeling; Estimation; Electronics; Semiconductor; Products

This proposal supports four students (two by NSF and two by industrial sponsors) to integrate graduate research with practical contributions to industrial problems. The main industrial partner is Nortel, but our colleagues in the Semiconductor Research Corporation, Texas Instruments, and the Center for Advanced Electronic Materials Processing at North Carolina State University will also provide expertise and laboratory access. Thus, this program will build a bridge between statistics and engineering, both on and off campus, for conducting interdisciplinary research. The students will gain experience in formulating research problems, in identifying statistical and engineering contributions, in exploring potential basic statistical research areas, and in presenting (oral and written) to scientists from different disciplines. In this proposal, the following new research will benefit both industrial applications and academic basic research: (1) a flexible modeling and estimation method for analyzing temporally or spatially correlated non-normal discrete or continuous data, (2) a robust estimation method in bilateral time series model, and (3) a robust estimation procedure in nonlinear random coefficient model for temporally correlated repeated measurements. The properties of the proposed statistical procedures will be evaluated through finite sample simulation and asymptotic theory applied to real-life examples from Nortel. The experience from this program will serve as a model to restructure our relationships with companies at Research Triangle Park and Raleigh. The students will spend 10 to 20 hours per week conducting research at industrial sites, engineering laboratories and the statistics department. The trainees and their mentors will present their work at appropriate conferences and publish research relevant to projects in statistical and engineering journals. This GOALI project is jointly supported by the MPS Office of Multidisciplinary Activitie s (OMA) and the Division of Mathematical Sciences (DMS).

该提案支持四名学生（两名由NSF和两名由工业赞助商）将研究生研究与工业问题的实际贡献相结合。 主要的工业合作伙伴是北电，但我们在半导体研究公司、德州仪器和北卡罗来纳州州立大学先进电子材料加工中心的同事也将提供专业知识和实验室准入。 因此，该计划将建立统计和工程之间的桥梁，无论是在校园内外，进行跨学科的研究。 学生将获得制定研究问题，在确定统计和工程贡献，在探索潜在的基础统计研究领域，并在介绍（口头和书面）来自不同学科的科学家的经验。 在该提案中，以下新研究将有利于工业应用和学术基础研究：（1）分析时间或空间相关非正态离散或连续数据的灵活建模和估计方法，（2）双边时间序列模型中的鲁棒估计方法，（3）非线性随机系数模型中时间相关重复测量的稳健估计方法。 将通过有限样本模拟和渐近理论应用到现实生活中的例子北电网络的性能进行评估，建议的统计程序。 从这个项目的经验将作为一个模型，以重组我们与公司在研究三角公园和罗利的关系。 学生每周将花费10至20小时在工业现场、工程实验室和统计部门进行研究。 受训人员及其导师将在适当的会议上介绍他们的工作，并在统计和工程期刊上发表与项目有关的研究。 GOALI项目由MPS多学科活动办公室（OMA）和数学科学部（DMS）共同支持。