Design and Analysis of Experiments
实验设计与分析
基本信息
- 批准号:1217801
- 负责人:
- 金额:$ 2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-07-01 至 2013-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award provides participant support costs for the conference Design and Analysis of Experiments 2012 (DAE 2012) at the University of Georgia from October 17, 2012 to October 20, 2012. The conference features leading researchers of international repute, promising new researchers, and graduate students actively pursuing research in the area of design and analysis of experiments. Participants represent academia, industry and government, and the conference offers a forum for interaction, discussion, and exchange of ideas on novel research in this area. Special sessions and activities to facilitate mentoring of junior researchers are an important focus of the conference. Themes of DAE 2012 include computer experiments, designs in marketing and business, designs in the pharmaceutical industry, algorithms for finding efficient designs, fractional factorial designs, designs for generalized linear models, designs for nonlinear models, designs for correlated data, and design robustness. The award provides partial support for approximately 40 participants.Design and analysis of experiments are indispensable in the scientific process. Experiments are an integral part of the discovery process in virtually all scientific disciplines and in engineering and manufacturing. Rapid developments have taken place in research on design and analysis of experiments, both in more traditional areas of application and, especially, in entirely new areas of application. This conference, DAE 2012, helps the advancement of cutting edge research in design and analysis of experiments by bringing together senior and junior researchers from academia, industry and government. DAE 2012 prepares future researchers in design and analysis of experiments through extensive mentoring activities that stimulate interactions between senior and junior participants. The conference makes significant efforts to broaden the participation of under-represented groups. Indirectly, by virtue of the fact that design and analysis of experiments play critical roles in the process of discovery and improvement in science, engineering and manufacturing, activities at the conference have an enormous impact on society. The conference website address is http://www.stat.uga.edu/dae2012.
该奖项为2012年10月17日至2012年10月20日在格鲁吉亚大学举行的2012年实验设计与分析会议(DAE 2012)提供参与者支持费用。会议的特点是国际知名的领先研究人员,有前途的新研究人员,以及积极从事实验设计和分析领域研究的研究生。与会者代表学术界,工业界和政府,会议提供了一个互动,讨论和交流这一领域的新研究的想法的论坛。促进指导初级研究人员的特别会议和活动是会议的一个重要重点。DAE 2012的主题包括计算机实验、营销和商业设计、制药行业设计、寻找有效设计的算法、部分析因设计、广义线性模型设计、非线性模型设计、相关数据设计和设计鲁棒性。该奖项为大约40名参与者提供部分支持。实验设计和分析在科学过程中不可或缺。实验是几乎所有科学学科以及工程和制造业发现过程中不可或缺的一部分。在实验设计和分析的研究方面,无论是在传统的应用领域,还是在全新的应用领域,都取得了迅速的发展。本次会议,DAE 2012年,通过汇集来自学术界,工业界和政府的高级和初级研究人员,有助于推动实验设计和分析的前沿研究。DAE 2012通过广泛的指导活动,刺激高级和初级参与者之间的互动,为未来的研究人员在实验设计和分析方面做好准备。会议为扩大代表不足群体的参与作出了重大努力。间接地,由于实验的设计和分析在科学,工程和制造的发现和改进过程中发挥着关键作用,会议活动对社会产生了巨大的影响。会议网址是http://www.stat.uga.edu/dae2012。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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John Stufken其他文献
Variance Approximation Under Balanced Sampling Plans Excluding Adjacent Units
- DOI:
10.1080/15598608.2011.10412057 - 发表时间:
2011-03-01 - 期刊:
- 影响因子:0.900
- 作者:
James H. Wright;John Stufken - 通讯作者:
John Stufken
Approximations of the information matrix for a panel mixed logit model
- DOI:
10.1080/15598608.2016.1219288 - 发表时间:
2017-06-01 - 期刊:
- 影响因子:0.900
- 作者:
Wei Zhang;Abhyuday Mandal;John Stufken - 通讯作者:
John Stufken
John Stufken的其他文献
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{{ truncateString('John Stufken', 18)}}的其他基金
Collaborative Research: Design-Based Optimal Subdata Selection Using Mixture-of-Experts Models to Account for Big Data Heterogeneity
协作研究:基于设计的最佳子数据选择,使用专家混合模型来解释大数据异构性
- 批准号:
2210576 - 财政年份:2022
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
Collaborative Research: Design-Based Optimal Subdata Selection Using Mixture-of-Experts Models to Account for Big Data Heterogeneity
协作研究:基于设计的最佳子数据选择,使用专家混合模型来解释大数据异构性
- 批准号:
2304767 - 财政年份:2022
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
Collaborative Research: Information-Based Subdata Selection Inspired by Optimal Design of Experiments
协作研究:受实验优化设计启发的基于信息的子数据选择
- 批准号:
1935729 - 财政年份:2019
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
Collaborative Research: Information-Based Subdata Selection Inspired by Optimal Design of Experiments
协作研究:受实验优化设计启发的基于信息的子数据选择
- 批准号:
1811363 - 财政年份:2018
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
Collaborative research: A major leap forward: Optimal designs for correlated data, multiple objectives, and multiple covariates
协作研究:重大飞跃:相关数据、多目标和多协变量的优化设计
- 批准号:
1506125 - 财政年份:2014
- 资助金额:
$ 2万 - 项目类别:
Continuing Grant
Collaborative research: A major leap forward: Optimal designs for correlated data, multiple objectives, and multiple covariates
协作研究:重大飞跃:相关数据、多目标和多协变量的优化设计
- 批准号:
1406760 - 财政年份:2014
- 资助金额:
$ 2万 - 项目类别:
Continuing Grant
Dimension Reduction, Model Selection and Classification in Functional Data Analysis.
函数数据分析中的降维、模型选择和分类。
- 批准号:
1105634 - 财政年份:2011
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
Optimal Design for Non-Linear Models, With an Emphasis on Categorical Data
非线性模型的优化设计,重点是分类数据
- 批准号:
1007507 - 财政年份:2010
- 资助金额:
$ 2万 - 项目类别:
Continuing Grant
Collaborative Research: Optimal Design of Experiments for Categorical Data
协作研究:分类数据实验的优化设计
- 批准号:
0706917 - 财政年份:2007
- 资助金额:
$ 2万 - 项目类别:
Continuing Grant
Mathematical Sciences: Design of Experiments: Improving Practicability of Some Useful Concepts
数学科学:实验设计:提高一些有用概念的实用性
- 批准号:
9504882 - 财政年份:1995
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
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