“健康丝绸之路”构建的“政府—社会”复合路径

借鉴社会运动理论,可探索一种融合了政府自上而下和社会自下而上进程的“政府—社会”复合路径,以构建“健康丝绸之路”。社会运动理论的三种视角可为这种复合路径的具体实施与需要关注的环节带来重要启发：首先,当前新冠肺炎疫情的跨国传播暴露了全球公共卫生治理体系存在的严重不足,凸显出构建补充型国际卫生合作模式的必要性与紧迫性;其次,推进“健康丝绸之路”的构建,需要政府和社会层面的协作,将“一带一路”沿线国家的资源充分调动起来,形成优势互补与资源共享。与此同时,要推进健康话语体系的完善,如倡导和促进“人类卫生健康共同体”理念的传播,通过话语和心理共鸣等民心相通的途径,促使国际社会采取联合行动以共同应对全球公共卫生危机。     

De minimis and equity in risk

Indices and orderings are developed for evaluating alternative strategies in the management of risk. They reflect the goals of reducing individual and collective risks, of increasing equity, and of assigning priority to the reduction and to the equity of high risks. Individual risk is defined as the (random or non-random) level of exposure to a danger. In particular the role of a lower negligibility level is investigated. A class of indices is proposed which involves two parameters, a negligibility level and a parameter of inequality aversion, and several interpretations of the indices are discussed. We provide a set of eight axioms which are necessary and sufficient for this class of indices, and we present an approach to deal with partial information on the parameters.     

正确把握新时代坚持和加强党的全面领导的逻辑理路——中国化马克思主义发展思想研究

党的十九大明确作出“坚持和加强党的全面领导”的重大政治论断,并把它作为新时代“党的建设”总要求的首要观点、坚持和发展中国特色社会主义“基本方略”的第一条提出来,这是中国共产党人进行党建工作的基本指导和根本遵循。新时代,正确把握坚持和加强党的全面领导的逻辑理路至关重要,因为这是我们党与生俱来和新时代历史使命的必然要求,是我们党带领人民战胜敌人的强大法宝和克服一切困难风险的定海神针;是执政党持之以恒正风肃纪和紧锣密鼓反腐惩恶的内在需要和客观要求。     

湖湘大地才是炎帝文化的母体——兼与中华炎黄文化研究会商讨“炎帝故里”问题

湖南是原始拜火教的发源地和稻作农业的诞生地,也是炎帝族中心聚落的所在地,湖南才是炎帝文化的母体。中华炎黄研究会认为山西高平是炎帝故里的说法缺乏关键证据支持,因而难以成立。     

中国股票市场有效性实证研究综述

对我国股票市场有效性的实证检验,不同的检验方法、样本区间和数据处理方法,都可能会影响得出不同的检验结论。本文从主要的实证检验、股票市场缺乏效率的原因、研究方法的创新与争论几个方面,对我国股票市场有效性的实证研究进行了综述,并对进一步研究的方向提出了建议。     

以科学发展观促进央行内部控制环境建设

作为中央银行的分支机构,应结合实际着力把对科学发展观的理解与把握,转化为谋划金融发展的正确思路,应该贯彻和谐顺央行的理念,坚持以人为本,加强诚信与职业道德建设,从而促进内部控制环境的建设。     

论壮族服饰变迁的缘由

服饰是人类文化的重要组成部分,是一个民族的重要标志之一。民族服饰不是一成不变的,每一个民族在其发展过程中,都有一个相对独立的服饰变迁史,壮族服饰同样经历了一个发展演变的历程。在壮族服饰习俗的发展和演化过程中,自然环境、物质条件、社会文化环境和心理环境等对其产生重大影响。     

A Weighted Least Squares Approach to Levene's Test of Homogeneity of Variance

In 1960 Levene suggested a potentially robust test of homogeneity of variance based on an ordinary least squares analysis of variance of the absolute values of mean-based residuals. Levene's test has since been shown to have inflated levels of significance when based on the F-distribution, and tests a hypothesis other than homogeneity of variance when treatments are unequally replicated, but the incorrect formulation is now standard output in several statistical packages. This paper develops a weighted least squares analysis of variance of the absolute values of both mean-based and median-based residuals. It shows how to adjust the residuals so that tests using the F -statistic focus on homogeneity of variance for both balanced and unbalanced designs. It shows how to modify the F -statistics currently produced by statistical packages so that the distribution of the resultant test statistic is closer to an F-distribution than is currently the case. The weighted least squares approach also produces component mean squares that are unbiased irrespective of which variable is used in Levene's test. To complete this aspect of the investigation the paper derives exact second-order moments of the component sums of squares used in the calculation of the mean-based test statistic. It shows that, for large samples, both ordinary and weighted least squares test statistics are equivalent; however they are over-dispersed compared to an F variable.     

Confidence intervals for secondary parameters following a sequential test

In sequential studies, formal interim analyses are usually restricted to a consideration of a single null hypothesis concerning a single parameter of interest. Valid frequentist methods of hypothesis testing and of point and interval estimation for the primary parameter have already been devised for use at the end of such a study. However, the completed data set may warrant a more detailed analysis, involving the estimation of parameters corresponding to effects that were not used to determine when to stop, and yet correlated with those that were. This paper describes methods for setting confidence intervals for secondary parameters in a way which provides the correct coverage probability in repeated frequentist realizations of the sequential design used. The method assumes that information accumulates on the primary and secondary parameters at proportional rates. This requirement will be valid in many potential applications, but only in limited situations in survival analysis.     

On the Critical Value Behaviour of Multiple Decision Procedures

In this paper we investigate the asymptotic critical value behaviour of certain multiple decision procedures as e.g. simultaneous confidence intervals and simultaneous as well as stepwise multiple test procedures. Supposing that n hypotheses or parameters of interest are under consideration we investigate the critical value behaviour when n increases. More specifically, we answer e.g. the question by which amount the lengths of confidence intervals increase when an additional parameter is added to the statistical analysis. Furthermore, critical values of different multiple decision procedures as for instance step-down and step-up procedures will be compared. Some general theoretic results are derived and applied for various distributions.