美国联邦政府R&D经费投入特点和变化趋势分析

首先介绍美国R&D经费的来源和执行者,分析美国R&D的投入特点和变化发展趋势;在此基础上详细解读美国联邦政府的R&D经费去向,并以合同预算和支出两套基础数据比较分析美国联邦政府四十多年R&D经费的变化发展特征,希望用于指导我国的R&D经费的管理与实践.     

非参数统计教学中两独立样本位置的非参数检验

两样本的比较问题在生物医学、质量评价等领域常遇到,解决该问题常用的检验方法是U检验、t检验等参数检验方法。但所处理的数据并不满足U检验或t检验的条件,因此采用非参数检验方法来解决此类问题更为有效。本文结合教学案例和R软件来阐述两独立样本位置的非参数检验。     

地方本科院校统计学实践型教学的设计与研究

随着市场经济的不断科技技术化,传统的统计学实践教学已经逐渐不适应人才市场的需求。统计学是一门应用性很强的学科,它也是一门以数据说话的学科。所以,对人才的培养,就不能太强调理论与学术化了。对学员的应用实践能力的培养需要加强学员对分析数据、处理数据以及开发潜在数据等能力的提升。本科院校对统计学人才的教育是较为漫长的,本文从如何提高学员在数据解决能力、应用能力和解决社会实际问题的能力为主要目的,针对实践教学的现状来进行相应研究探讨。     

概率论与数理统计教学中的几点思考

概率论与数理统计是数学的一个重要分支也是理工科学生一门重要的基础课,本文结合教学实践,从激发并培养学习兴趣、注意讲解技巧、帮助学生吃透基本概念、引导学生学会迁移应用和加强课外辅导与交流互动几方面提出提高教学质量的几点思考。     

非统计学专业统计学实验教学的改革与实践

统计学实验教学是统计学整体教学体系的重要组成部分,本文分析了目前我国非统计学专业统计学实验教学存在教学方法陈旧,教学手段单一、不注重对统计学实验的考核、认为统计软件越高级越好、忽视综合性实验等突出问题,并提出了相应的改进措施。     

Heat maps: a case for inclusion in secondary statistics instruction

Heat maps have become ubiquitous in the media, yet students are rarely exposed to them and their inherent limitations and potential for misleading consumers. This article makes a case for exposing students to them in statistics instruction at the secondary and tertiary level.     

Non-national museum attendances in the UK. Part 2: counting them in

ABSTRACT

This is the second of two papers that together present an interim report on a study of visit numbers to UK regional and local museums. It identifies trends in museum visiting between 1891 and 2015 within the context of socio-economic change, and discusses the principle causes of annual variances (sometimes of substantial magnitude) at a local level. It suggests that changes in visit levels are generally within the control of a museum rather than the consequence of external influences, and questions how far the experience of the period since 2001 is comparable with what has gone before.     

Multiple linear regression: Identify potential health care stocks for investments using out-of-sample predictions

College-level statistics courses emphasize the use of the coefficient of determination, R-squared, in evaluating a linear regression model: higher R-squared is better. This often gives students an impression that higher R-squared implies better predictability since textbooks tend to use sample data to support the theory and students rarely have an opportunity to work on real data. In this paper, health care stocks are used as predictors and the result demonstrates that high R-squared does not necessarily mean high predictability and that multiple linear regression can be used in the study of data behavior. In particular, by learning the pattern of the near and far out-of-sample-prediction errors for different time periods throughout a dataset, the near out-of-sample prediction errors can be used to control the prediction errors and identify a subset of predictors that can well reflect the trend of S&P 500.     

Statistical edutainment that counts

The use of edutainment can help engage students in discussion and learning key concepts about the timely topic of doing a census, including its importance and challenges.