Interpretive Reports for the Fifth, Sixth, and Seventh NAEP Mathematics Assessments

提案：DMS 9505461个人：Robert Kass， Constantine Gatsonsi, James Hodges， Nozer Singpurwalla机构：卡内基梅隆大学题目：贝叶斯案例研究研讨会，1995年10月摘要：在宾夕法尼亚州匹兹堡的卡内基梅隆大学举行的题为“科学技术中的贝叶斯统计：案例研究III”的研讨会包括贝叶斯方法应用的扩展演讲。在这些应用中，统计学家是研究团队中不可或缺的一员。研讨会的目标是：(1)识别并关注阻碍贝叶斯方法应用的具体实施和理论问题，并确定候选解决方案；提供一个论坛，在具体研究项目的范围内探讨统计理论与实践之间的相互作用；（iii）提供一个小型会议氛围，让初级研究人员和研究生可以与经验丰富的研究人员一起探索大量贝叶斯应用；（iv）编制一卷，其中载有记录良好的案例研究和数据集，供应用统计和其他定量领域的研究人员、从业人员、教育工作者和学生使用。今天有越来越多的背景资料可供科学家进行调查。在设计研究和分析数据时，有效地利用先前的知识是很重要的。贝叶斯统计方法就是为这个目的量身定做的。最近在贝叶斯统计理论和计算方面取得了许多进展，但科学会议很少花大量时间讨论这些方法在实质性科学问题上的成功应用。这次研讨会的重点是贝叶斯统计的应用。应用领域从经济学到人口生物学。结果将阐明理论与实践之间的相互作用，并确定成功的方法，为未来的研究指明重要的方向。讲习班的相互作用和动态将通过录象带和以较传统的会议记录的书面形式加以记录和传播。

Proposal: DMS 9505461 PIs: Robert Kass, Constantine Gatsonsi, James Hodges, Nozer Singpurwalla Institution: Carnegie Mellon University Title: Bayesian Case Studies Workshop, October 1995 Abstract: The symposium entitled ``Bayesian Statistics in Science and Technology: Case Studies III'' held at Carnegie-Mellon University in Pittsburgh, Pennsylvania, includes extended presentations of applications of Bayesian methods. These applications are in problems in which the statistician is an integral member of the research team. The objectives of the symposium are to: (1)identify and focus attention on specific implementation and theoretical problems that hinder applications of Bayesian methods, and to identify candidate solutions; (ii) provide a forum in which the interplay between statistical theory and practice will be explored in the context of concrete research projects; (iii) provide a small-meeting atmosphere within which junior investigators and graduate students can explore substantial Bayesian applications with experienced researchers; and (iv) produce a volume containing well-documented case studies and data sets suitable for use by researchers, practitioners, educators and students of applied statistics and other quantitative fields. Today there are increasing amounts of background information available to scientists undertaking an investigation. It is important to utilize previousknowledge effectively in designing studies and analyzing data. Bayesian statistical methods are tailored to this purpose. There have been many recent advances in Bayesian statistical theory and computation, but scientific meetings rarely spend substantial time discussing successful applications of these methods to substantive scientific problems. This symposium concentrates attention solely on applications of Bayesian statistics. The application areas range from economics to population biology . The result will be the elucidation of the interplay between theory and practice and the identification of successful methods that will point to important directions for future research. The interactions and dynamics of the workshop will be captured and disseminated via video tape and in the more traditional written form of a conference proceedings.