我国高校R&D统计口径研究

 由于历史原因和近几年高校科学事业的快速发展，现有的R&;D统计口径不能如实地反映高校R&;D活动的真实状况。本文在总结OECD手册关于高校R&;D统计的原则和我国高校现有R&;D统计口径的基础上，指出造成R&;D统计混乱的原因，并借助高校收入类会计科目对R&;D统计口径进行重新认识，最后就完善我国高校R&;D统计工作提了几点具体建议。     

改革开放以来我国统计调查体系发展的回顾与思考

 统计调查体系包括方法体系,组织体制、法规体系、资源配置等多方面内容,其中最核心的是方法体系与组织体制。本文对统计调查体系中的方法体系与组织体制两个方面进行研究。文章在回顾改革开放以来我国统计调查体系发展历程的基础上,深入分析我国统计调查体系现存的突出问题,并对进一步改革进行了有关思考。     

广西高校图书馆科研状况分析——基于2000～2008年科研论文的统计

运用文献计量学方法,以广西高校图书馆2000-2008年的1574篇科研论文为基础,对论文的数量、核心论文量、论文被引情况、基金论文量、作者的机构与合作情况及论文主题等进行统计分析。结果显示,广西高校图书馆的科研呈发展趋势,发文量逐年递增,但论文质量有所下滑,课题立项较少,科研地区差异性明显,论文主题较雷同,缺乏创新性和新颖性。与国内其他地区相比,广西高校图书馆的科研水平和力量仍显落后和薄弱。     

哲学社会科学基金项目立项课题计量统计分析——基于民族问题研究的视角

用文献计量学的方法对哲学社会科学1993～2010年基金立项状况进行多角度、多方位的分析统计.研究显示:民族问题研究的立项数量和资助力度逐年增长.以一般项目和青年项目的立项为主体,重点项目和自筹项目相对较少.18年间立项988项,占全国的比例为4.92%,其中高校立项674项,群众团体和军事院校分别为1项和3项,科研实...     

区域财政行政支出的测算与公共管理创新

 由于经济发展水平的差异和体制转轨进程的不同步性,中国不同地区的财政行政支出存在比较大的差异。通过测算经济发展水平和体制转轨进程对财政行政支出的边际效应系数,可以对各地区财政行政支出的离差进行因素分解,将其形成机制划分为四种类型,从中可以分析出它们不同的政策含义。由此对现行公共管理方式进行反思,提出公共管理二次创新的若干思路。     

Dread risks

It is a well-established fact that many people view the prospect of premature death by some causes with considerably more disquiet or “dread” than death by other causes. It is equally clear that for most people their personal risk of death by a given cause is also a matter of serious concern. This article reports the findings of a study aimed at estimating the effects of dread and personal risk of death by a specific cause on the willingness-to-pay based Value of Statistical Life (VSL) for that cause. JEL Classification J17     

统计信用制度建立的理论分析与初步设想

统计信用缺失是影响统计数据失真的重要原因,建立统计信用评级体系是从根本上保障诚信、提高数据质量的最有效的方法。本文运用信息不对称原理和博弈论分析模型对统计信用缺失进行分析,并对统计信用评价体系进行了初步设想。     

Constant width simultaneous confidence bands in multiple linear regression with predictor variables constrained in intervals

In the last fifty years, a great deal of research effort has been made on the construction of simultaneous confidence bands for a linear regression function. Two most frequently quoted confidence bands in the statistics literature are the Scheffé type and constant width bands over a given rectangular region of the predictor variables. For the constant width bands, a method is given by Gafarian [Gafarian, A.V., 1964, Confidence bands in straight line regression. Journal of the American Statistical Association, 59, 182–213.] for the calculation of critical constants only for the special case of one predictor variable. In this article, a method is proposed to construct constant width bands when there are any number of predictor variables. A new criterion for assessing a confidence band is also proposed; it is the probability that a confidence band excludes a false regression function and can be viewed as the power function of a test associated, naturally, with a confidence band. Under this criterion, a numerical comparison between the Scheffé type and constant width bands is then carried out. It emerges from this comparison that the constant width bands can be better than the Scheffé type bands for certain designs.     

A MODEL FOR THE PREDICTION OF JUROR DECISIONS*

A logit model approach designed to assign a probability whether prospective jurors will favor the defendant or plaintiff in a case, as a function of perceived individual juror characteristics, is described in the context of a case situation. The model, which has been programmed on a hand-held computer, is designed for implementation in courtroom settings to help defense attorneys evaluate and select jurors in order to minimize the likelihood of large jury awards. Empirical tests of the model are also described.     

A new class of distribution having decreasing,increasing, and bathtub-shaped failure rate

In this article, we propose a new class of distribution which is based on the concept of exponentiated generalization with some modification so as to provide a better result in terms of flexibility. Our proposed distribution accommodates various shapes of hazard rate including the bathtub. Exponential distribution has been taken as the baseline distribution. Various statistical properties of the proposed distribution have been studied. We have used the method of maximum likelihood for estimation of the parameters of the proposed model. Last, we have analyzed four real datasets to illustrate the flexibility of the model in comparison to eight existing well-known distributions.