Statistics for Correlated Data: A Conference in Celebration of the 50th Anniversary of the Department of Statistics at Iowa State University; Ames, Iowa; October 16-18, 1997

相关数据统计:庆祝爱荷华州立大学统计系成立 50 周年的会议;

基本信息

  • 批准号:
    9700897
  • 负责人:
  • 金额:
    $ 1.19万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    1997
  • 资助国家:
    美国
  • 起止时间:
    1997-09-01 至 1998-02-28
  • 项目状态:
    已结题

项目摘要

DMS 9700897 Statistics for Correlated Data: A Conference in Celebration of the 50th Anniversary of the Department of Statistics at Iowa State University Yasuo Amemiya October 16-18, 1997 Scheman Building, Iowa State University, Ames, Iowa 50011 Abstract: The Department of Statistics at Iowa State University, in conjunction with its 50th anniversary, plans to host a conference that will contribute to the advancement of statistical science and to the future infrastructure of statistics. The scientific theme of the conference is "Statistics for Correlated Data", which covers many of the currently important theoretical and applied research topics, and which corresponds to the areas of the department's strength and tradition. The plan for the conference is to make it as accessible as possible to the diverse statistics community, and to encourage and support researchers in early stages of their career. Correlated data arise in modeling temporal and spatial processes, in analyzing repeated measures, in complex sampling and experimental schemes, and in a wide range of applied problems. In this broad subject, researchers tend to form separate groups defined by sub-topics or the areas of application. This conference attempts to gather statisticians with interest in any of the theoretical or applied sub-areas of correlated data statistics, and to serve as a place for communicating and exchanging knowledge. Sub-areas covered by the main theme include time series, spatial statistics, sampling, longitudinal analysis, multivariate analysis, applications to engineering, life, and agricultural sciences. It is planned to have 10-15 invited speakers from outside Iowa State. The conference also plans to have a special invited poster session for young researchers. This program will be announced and advertised widely to obtain a large pool of applicants. At least ten young researchers will be selected as invited participants, and will be feat ured in the poster session. In addition, the participation of graduate students and young faculty members will be promoted through the network of the Midwest departments of statistics.
相关数据的统计:爱荷华州立大学统计系成立50周年庆祝会议Yasuo Amemiya 1997年10月16-18日爱荷华州立大学Scheman大楼,爱荷华州艾姆斯,50011爱荷华州立大学统计系在成立50周年之际,计划举办一次会议,以促进统计科学的进步和统计的未来基础设施。会议的科学主题是“相关数据统计”,涵盖了许多当前重要的理论和应用研究课题,并与该系的优势和传统领域相对应。会议的计划是使不同的统计界尽可能地接触到它,并鼓励和支持处于职业生涯早期阶段的研究人员。相关数据出现在时间和空间过程建模、重复测量分析、复杂采样和实验方案以及广泛的应用问题中。在这个广泛的主题中,研究人员倾向于形成由子主题或应用领域定义的单独小组。本次会议旨在聚集对相关数据统计的任何理论或应用子领域感兴趣的统计学家,并作为交流和交流知识的场所。主题涵盖的子领域包括时间序列、空间统计、抽样、纵向分析、多元分析、在工程、生命和农业科学中的应用。计划邀请10-15名来自爱荷华州以外的受邀演讲者。会议还计划为青年研究人员举办特别邀请海报会议。这个项目将广泛公布和宣传,以获得大量的申请者。将选出至少10名青年研究人员作为特邀参与者,并在海报环节进行表彰。此外,将通过中西部统计系的网络促进研究生和年轻教员的参与。

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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Yasuo Amemiya其他文献

A PRACTICAL APPROACH TO SPATIO-TEMPORAL ANALYSIS
时空分析的实用方法
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Huijing Jiang;A. Schoergendorfer;Y. Hwang;Yasuo Amemiya
  • 通讯作者:
    Yasuo Amemiya
Generalized Shifted-Factor Analysis Method for Multivariate Geo-Referenced Data
多元地理参考数据的广义平移因子分析方法
  • DOI:
  • 发表时间:
    2001
  • 期刊:
  • 影响因子:
    0
  • 作者:
    W. F. Christensen;Yasuo Amemiya
  • 通讯作者:
    Yasuo Amemiya
Dynamic Latent Class Model Averaging for Online Prediction
用于在线预测的动态潜在类模型平均
  • DOI:
    10.1002/for.2315
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Hongxia Yang;J. Hosking;Yasuo Amemiya
  • 通讯作者:
    Yasuo Amemiya
Two-stage instrumental variables estimators for the nonlinear errors-in-variables model
  • DOI:
    10.1016/0304-4076(90)90061-w
  • 发表时间:
    1990-06
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Yasuo Amemiya
  • 通讯作者:
    Yasuo Amemiya
Testing dimensionality in the multivariate analysis of variance
多元方差分析中的检验维度
  • DOI:
    10.1016/0167-7152(91)90002-9
  • 发表时间:
    1991
  • 期刊:
  • 影响因子:
    0
  • 作者:
    T. W. Anderson;Yasuo Amemiya
  • 通讯作者:
    Yasuo Amemiya

Yasuo Amemiya的其他文献

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