On the behaviour of some transforms of the sample correlation coefficient in samples from the bivariate t and the bivariate X2distribution

The present paper studies the normality of five transformations suggested in the literature to normalize the sample correlation coefficient. The parent populations are the bivariate t and the bivariate X ²The results in the previous work of Subrahmaniam and Gajjar are exploited to assess their performance. The density estimation procedure of Tarter and Kronmal is used to provide empiric support to the asymptotic results     

实施循环农业的理论与实践

文章通过调查和分析,对我国实施循环农业的原则和具体措施作了介绍。较详细阐述了循环农业实施的模式,结合生产实际,按照＂减量化、再利用、资源化＂的＂3R＂原则,对可行的实用技术进行了归纳总结,为循环农业的继续发展提供指导。     

Testing uniformity for the case of a planar unknown support

A new test is proposed for the hypothesis of uniformity on bi‐dimensional supports. The procedure is an adaptation of the “distance to boundary test” (DB test) proposed in Berrendero, Cuevas, & Vázquez‐Grande (2006). This new version of the DB test, called DBU test, allows us (as a novel, interesting feature) to deal with the case where the support S of the underlying distribution is unknown. This means that S is not specified in the null hypothesis so that, in fact, we test the null hypothesis that the underlying distribution is uniform on some support S belonging to a given class ${\cal C}$rc="https://wol-prod-cdn.literatumonline.com/cms/attachment/9b74e11d-9964-4233-adca-3b13fb2135f5/tex2gif-ueqn-1.gif"> . We pay special attention to the case that ${\cal C}$rc="https://wol-prod-cdn.literatumonline.com/cms/attachment/d6945810-a364-4849-98fb-7ca516bcb988/tex2gif-ueqn-2.gif"> is either the class of compact convex supports or the (broader) class of compact λ‐convex supports (also called r‐convex or α‐convex in the literature). The basic idea is to apply the DB test in a sort of plug‐in version, where the support S is approximated by using methods of set estimation. The DBU method is analysed from both the theoretical and practical point of view, via some asymptotic results and a simulation study, respectively. The Canadian Journal of Statistics 40: 378–395; 2012 © 2012 Statistical Society of Canada     

机能实验学教学体系改革的实践与思考

实验教学在医学院校培养高级人才方面具有非常重要的作用。针对当前医学教育规模不断扩大,新知识、新技术不断应用,基础医学院改革挖潜,建立了机能学实验室,引进了微机化实验教学系统,开设了综合实验课程,并设想利用现代网络信息技术,实施实验教学的虚拟现实技术和网络教育,为确保人才培养质量,探索一条新路。     

试论政府职能转变与社会中介组织的关系

政府职能转变是政治体制改革和机构改革的一大目标和重点，而其转变的重要途径是中介组织的发展和健全。社会中介组织是政府与社会的联结纽带，是政府职能转变的载体，是政府向市场分化的职能的中介。政府职能转变是社会中介组织发展壮大的推进器。政府职能转变与社会中介组织的发展是一种互动的渐近关系。政府应加快中介组织的法制建设，明确规范政府与中介组织之间的关系，建立和完善社会主义市场经济体制，促进中介组织的发展。     

从接受美学看"哈利·波特现象"

接受美学作为一种读者中心论范式的文学理论,认为文学作品一方面要照顾到读者群体的阅读需求,引导读者阅读和鉴赏;另一方面还要超越读者,拓展读者的期待视野。英国女作家J.K罗琳的魔幻系列小说《哈利.波特》运用独特的叙事模式,恰恰迎合了读者的这样一种审美心理。在当下这样一个视听媒介高度发达的时代,《哈利.波特》市场化、现代化的运作手法,不仅充分调动了读者的接受欲望,而且小说在达到读者的既定期待之时又超越了读者的期待视野,显示了作家高超的艺术创造力,对我国当今的文学创作与接受不无借鉴意义。     

世界近代史上高等工程教育与军事教育完美结合的典范-“哈军工”创建动因、办学与内部管理模式的分析研究

文章在总结世界近代史上高等工程教育与军事教育的关系基础上,分析了“哈军工”创建的直接动因与目标动因,归纳出“哈军工”创造的高等工程教育与军事教育相结合的办学模式和学术管理与行政(军事)相结合的“二元”内部管理模式,并对“哈军工”在高等工程教育和军事教育史上的历史地位进行了评价。     

函数平均值的一个不等式及其应用

证明了有关函数平均值的一个估值不等式 ,应用它推出了若干重要的不等式。     

Confidence Intervals of Effect Size for Randomized Comparative Parallel-Group Studies with Unequal Variances

Recent years have seen a heightened interest in estimating effect size—a common measure of effect magnitude in biomedical research—because of its direct clinical relevance. In this article, three interval estimates of effect size for randomized comparative parallel-group studies with unequal variances are discussed. Two real-life examples illustrate that confidence intervals obtained by three methods are quite different, especially when the sample sizes are small. Simulation results show that confidence intervals generated by the modified signed log-likelihood ratio method yield essentially the exact coverage probabilities, whereas the other two methods, even though they are more popular methods, yield less satisfactory results.     

加强质量管理延伸高校科技创新优势

高校丰富的科技资源和范围广、层次多的科技活动是科技创新的优势,但资源分散和管理滞 后对科技创新形成制约。加强质量管理,可以为高校科技创新吸引资金支持,也能够促进科 技项目的顺利完成。符合高校特点的质量管理,可以延伸高校科技创新的优势。