Mathematical Sciences: Workshops for Statistical Methodologyin Quality and Productivity Improvement

将举办两个关于质量和产品改进统计方法的讲习班。第一个讲习班将集中于确定和探索涉及统计科学的广泛研究问题及其在处理过程质量和生产力问题方面的应用。典型的问题范围从过程诊断的发展，以检测过程失控或在这些过程中使用的机器或工具的恶化，到新的实验设计技术，以提高具有大量控制变量的过程的质量，再到与大型软件产品和项目开发相关的技术管理。讲习班将着眼于涉及具有矢量结果变量的高维度响应面方法的具体问题，并将解决在将观测数据分析与设计实验相结合以了解响应面形状和优化生产过程中产生的问题。统计图形技术以及人工智能（如神经网络）的计算机科学方法将被探索。

Two workshops on statistical methodology in quality and product improvement are to be conducted. The first workshop will focus on the identification and exploration of a broad range of research problems involving statistical science and its use in addressing problems in process quality and productivity. Typical problems range from the development of process diagnostics to detect processes out of control or deterioration of machines or tools used in these processes to new experimental design techniques to improve the quality of processes having a large number of control variables to techniques related to the development of large scale software products and project management. The workshop will look at specific problems involving response surface methodology in very high dimensions with vector outcome variables and will address the issues arising in combining observational data analysis with designed experiments to learn the shape of the response surface and optimize the production process. Statistical graphics techniques as well as computer science methods of artificial intelligence (e.g., neural networks ) will be explored.