区域自主创新实力动态评价——基于改进二次加权法

建立区域自主创新实力评价指标体系,运用改进归一化法和变异系数法对数据进行标准化处理,确定权重,利用改进二次加权法计算2001—2010年中国大陆31个省、市、自治区的区域自主创新实力加权平均值,进行动态评价与分类比较分析。研究表明:2001—2010年期间中国区域自主创新实力从评价值排序看,地域差异明显,东部地区较强,中部地区居中,西部地区较弱。主要原因是东部地区的资金、政策、人才和创新载体的优势,中部、东北地区产业结构和企业创新理念的制约以及西部经济、教育和科研水平相对较低。研究认为:自主创新实力较弱的区域可以通过增加R&D投入、引进创新型人才、优化产业结构、完善创新扶持政策、增强产学研协同创新等手段,提高区域自主创新实力。     

卫星遥感数据法庭可证据性法律问题研究

卫星遥感数据相比传统证据采集方式存在优越性,近些年也频繁地被国际和国内法庭争端当事方用作证据。法庭在是否采信的问题上立场不一,国际法院在涉及领土主权争端案件中对其较为排斥,国际刑事法院、欧盟法院和部分国家国内法院在涉及特定事项时态度较为肯定和积极。原因和卫星遥感数据本身的特质有关,在有着无可比拟优势的同时,其作为证据仍存在个人隐私权保护、知识产权保护、数据的可获得性以及专家证词真实性等问题。卫星遥感数据法庭可证据性问题集中体现了科技与法律之间相互促进和矛盾性,国际社会目前立法仍为空白,国际和地区实践处于分而治之的局面。     

基于ARM架构处理器的远程医疗监护系统

随着中国步入老龄化社会,对老年人的医疗护理工作越来越受到社会的重视。文章提出一种以ARM11架构CPU为核心的远程医疗监护系统,使用嵌入式linux操作系统进行全系统管理,可以通过因特网远程访问获取血压、脉搏、体温和实时视频等信息。经过实际测试,该系统完全达到设计要求,可以满足对监护人员的基本监护要求,大大减轻护理人员的工作量,具有较大的推广应用价值。     

论二十世纪六、七十年代"三线"建设与陕西工业

陕西工业的发展、变化与二十世纪六、七十年代国家"三线"建设紧密相关.在"三线"建设期间,国家强力度的直接投资,进行了大规模的工业建设扩张,使陕西工业"跳跃"式地进入现代工业化的行列.与此同时,以现代国防工业为主体的陕西工业经济结构日益完善.但是,陕西工业是计划经济的产物,因此,存在许多制约经济发展的问题,需要我们进一步正视.改革开放后,随着社会主义市场经济的日益确立,陕西工业经济的发展迎来了又一次新的历史机遇.     

基于社会最不利者服务型政府的构建战略

转变政府职能,建设服务型政府,我国行政体制改革应当具有＂社会最不利者＂的视角。社会最不利者视角是实现国家治理体系重要元素现代化——建设服务型政府的一种改革战略方向：首先,建设服务型政府,政府＂管什么＂应该从社会最不利者的角度来定;其次,建设服务型政府,政府＂怎么管＂应当让社会最不利者清楚明白;最后,建设服务型政府,政府＂管得怎样＂应以社会最不利者满意为基准。     

A simulation study on power comparisons for group sequential tests of non-parametric statistics

In this article, a group sequential test (GST) of non-parametric statistics for survival data is briefly reviewed. An asymptotic joint distribution of the test statistics, obtained after each interim analysis, is given to illustrate the applicability of the critical values of the GST procedures. It should be noted that censored observations are generally seen in survival data. Therefore, if one makes power calculations irrespective of censoring, reliable results may not be achieved, due to the lack of information about the censoring structure. A wide simulation study, covering different censoring rates and tied observations, is conducted to make the power comparisons under various scenarios. The simulation results are interpreted and compared with the results obtained by using power analysis and sample size (PASS) software.     

Dimensionality reduction approach to multivariate prediction

The authors consider dimensionality reduction methods used for prediction, such as reduced rank regression, principal component regression and partial least squares. They show how it is possible to obtain intermediate solutions by estimating simultaneously the latent variables for the predictors and for the responses. They obtain a continuum of solutions that goes from reduced rank regression to principal component regression via maximum likelihood and least squares estimation. Different solutions are compared using simulated and real data.     

Bathtub distributions: a review

Bathtub distributions are characterized by bathtub failure rate functions . These are possibly more realisitic models than the monotone failure rate models . A systematic account of such distributions is not available and this review aims to give such an account . We give some easily verifiable conditions to check the bathtub property of a distribution along with methods to construct such distributions . We also discuss some stochastic and reliablity mechanisms which lead to bathtub distributions. These include mixtures ( stochastic failure rate models ) , series system , stochastic differential equation models and so on. We also review inference on bathtub distributions. The paper concludes with a rather exhaustive list of bathtub distributions.     

Anova and minque type of estimators for the one-way random effects model

The one-way random effects model with unequal variances and unequal sample sizes is considered. Estimation of the variances, variance of a single observation (total variance), and the standard error of the unweighted mean are considered. Precision of the Analysis of Variance and Unweighted Sums of Squares type of estimators and the Minimum Norm Quadratic Unbiased Estimators with a priori weights are examined.     

Robust methods of estimation of regression coefficients 1

Recently, cumulative residual entropy (CRE) has been found to be a new measure of information that parallels Shannon's entropy (see Rao et al. [Cumulative residual entropy: A new measure of information, IEEE Trans. Inform. Theory. 50(6) (2004), pp. 1220–1228] and Asadi and Zohrevand [On the dynamic cumulative residual entropy, J. Stat. Plann. Inference 137 (2007), pp. 1931–1941]). Motivated by this finding, in this paper, we introduce a generalized measure of it, namely cumulative residual Renyi's entropy, and study its properties. We also examine it in relation to some applied problems such as weighted and equilibrium models. Finally, we extend this measure into the bivariate set-up and prove certain characterizing relationships to identify different bivariate lifetime models.