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Design and Analysis of Experiments (DAE 2007) Conference

Design and Analysis of Experiments (DAE 2007) Conference
实验设计与分析 (DAE 2007) 会议
批准号:
0729565
负责人:
Manohar Aggarwal
金额:
$2.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2008-08-31

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中文摘要
翻译
2007年实验设计与分析会议(DAE 2007)将于2007年10月31日至11月3日由孟菲斯大学主办。这将是一系列会议中的第五次,这些会议的主要目的是为实验设计和分析领域的初级研究人员提供支持和鼓励,并激发人们对与科学和工业有关的实际问题的兴趣。DAE2007的重点是实验设计的新兴研究领域,以及传统领域的创新。会议将讨论对学术界和工业界具有重要意义的课题,如筛选实验、计算机实验、序列设计、裂区和裂区设计、生物医学实验设计和基因研究。实验的设计和分析是科学方法的基础。它被用于所有科学学科和工程的应用。它在整个商业和工业中被用来提高工艺和设备的可靠性,并识别和理解工艺因素如何影响产出。它被用于医学,特别是在临床试验和生物医学实验的设计中,也被用于许多其他科学学科。在过去的几年里,统计理论和方法的进步导致了能够分析复杂实验的复杂方法的发展。这就产生了对这些实验的有效设计的需求。同时,在未来的几年里,需要新一代充满热情和才华的实验设计研究人员,在新兴领域开展原创性的理论和应用研究。今天的初级研究人员需要被培养和鼓励承担这一角色。为此,DAE2007将汇集来自大学和工业界的高级和初级研究人员和实践统计学家,讨论该领域的研究和未来方向。此外,DAE2007将加强学术界和工业界之间的合作研究,并将扩大代表不足的群体,主要是少数群体和妇女的参与。
英文摘要
The Design and Analysis of Experiments 2007 Conference (DAE 2007) will be hosted by the University of Memphis in October 31 to November 3, 2007. This will be the fifth in a series of conferences whose principal aims are to provide support and encouragement to junior researchers in the field of design and analysis of experiments and to stimulate interest in topics of practical relevance to science and industry. The focus of DAE2007 is on emerging areas of research in experimental design, as well as novel innovations in traditional areas. The conference will cover topics of importance to the academic and industrial community, such as screening experiments, computer experiments, sequential designs, split plot and split lot designs, designs for biomedical experiments and genetic studies.The design and analysis of experiments is at the foundation of the scientific method. It is used in applications across all scientific disciplines and engineering. It is used throughout business and industry to improve the reliability of processes and equipment and to identify and understand how process factors affect output. It is used in medicine, especially in the design of clinical trials and biomedical experiments and is also used in many other scientific disciplines. The advancement of statistical theory and methodology over the past years has resulted in the development of sophisticated methods capable of analyzing complex experiments. This has given rise to a demand for efficient designs for these experiments. At the same time, a new generation of enthusiastic and talented researchers in design of experiments is needed in the years to come to carry out original theoretical and applied research in the emerging areas. The junior researchers of today need to be nurtured and encouraged to assume this role. For this purpose, DAE2007 will bring together senior and junior researchers and practicing statisticians from universities and industry to discuss research and the future directions of the field. Additionally, DAE2007 will strengthen collaborative research between academia and industry and will broaden the participation of underrepresented groups, mainly minorities and women.
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