课题基金 / 基金详情

Funding for Graybill 2011 Conference

Funding for Graybill 2011 Conference
为 Graybill 2011 年会议提供资金
批准号:
1115654
负责人:
Mary Meyer
金额:
$2.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-06-01 至 2012-05-31

项目摘要

项目成果

Mary Meyer的其他基金

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中文摘要
翻译
科罗拉多州立大学统计系自2001年以来一直主办格雷比尔会议。会议的主题每年都不同,但目的是将研究人员、实践者和研究生聚集在一起,在专注于研究和应用的轻松和刺激的气氛中。2011年会议的主题是“现代非参数方法”。该计划由研讨会、受邀的全体会议和海报会议组成。会议的私密性使得与会者可以集中讨论和互动,这对年轻的研究人员和研究生来说特别有价值。这次会议将继续2007年由美国统计学会非参数统计科共同主办的一系列专题会议,以推动就统计界这一重要部分感兴趣的主题建立一年两次的会议传统的目标。实用的非参数和半参数方法的持续发展对现代科学、医学、经济学、农业、环境或全球变化、卫生和医学等许多领域的发展至关重要。在许多学科中,越来越多的高质量数据的可获得性已经超过了可用于分析它们的方法。为了解决实践中遇到的许多问题,越来越需要灵活和强大的工具,如现代非参数方法,以便继续进行这一领域的研究以及对未来研究人员的教育,将使统计学科以及依赖它的许多学科受益。
英文摘要
The statistics department at Colorado State University has hosted the Graybill conference since 2001. The theme of the conference differs from year to year, but the objective is to bring together researchers, practitioners, and graduate students, in a relaxed and stimulating atmosphere focused on research and applications. For the 2011 conference, the theme is ``Modern Nonparametric Methods.'' The program consists of a workshop, invited plenary talks, and a poster session. The intimate nature of the conference allows for concentrated discussion and interaction among the participants, which can be especially valuable for young researchers and graduate students. The conference will continue the series of topical conferences co-sponsored by the ASA Section on Nonparametric Statistics initiated in 2007, furthering the goal of establishing a biannual conference tradition on a topic of interest to this important segment of the statistical community. The continued development of practical nonparametric and semiparametric methods is crucial to the advancement of modern sciences, medicine, economics, agriculture, environment or global change, health and medicine, and many other fields. In many disciplines, the increasing availability of large amounts of high quality data has outpaced the methods available to analyze them. Flexible and robust tools such as modern nonparametric methods are increasingly necessary to address many questions encountered in practice, so that continued research in this area as well as education of future researchers will benefit the statistics discipline as well as the many disciplines that rely on it.
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会议论文
Shape-Constrained Estimation and Inference for Surveys
  • 批准号:
    1533804
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2015
  • 负责人:
    Mary Meyer
  • 依托单位:
Inference using Shape-Restricted Regression Splines
  • 批准号:
    0905656
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.0万
  • 财政年份:
    2009
  • 负责人:
    Mary Meyer
  • 依托单位:
Acquisition of Linux Cluster to Meet Modern Computational Needs for Statistical Research at University of Georgia
Shape-Restricted Inference
海外基金