正态分布尺度参数基于残缺观测数据的置信区间

对于残缺的样本观测数据，讨论了正态分布总体尺度参数的区间估计问题。给出了适用于残缺观测数据的构造置信区间的一种方法，即只需知道样本的任意两个关于样本中心对称顺序统计量的值，就可求出总体多数的置信区间。讨论了相应的分布密度函数，给出了大样本近似分布。     

关联性的思考：网络思想政治教育与大学生就业教育

在网络信息时代,随着校园＂围墙＂的逐渐消失,思想政治教育的环境和条件正悄然变化,这就要求我们必须主动适应时代要求,充分发挥网络这一思想政治教育新载体的作用,不断开发网络思想政治教育的功效,全面创新高校就业思想政治教育工作。     

自由主义宪政民主与中国民主政治建设

世界各国经济和社会发展的经验能够证明,经济发展较快时期既存在于自由主义的宪政民主时期,也存在于非自由主义的宪政民主时期.因此,不能把自由主义的宪政民主神圣化.民主的经验可以借鉴,但做不到复制.人类政治文明发展的历史和现实情况说明,任何一种民主的本质、内容和形式,都是随着本国经济文化的发展而发展的.并不存在唯一的、普遍适用的和绝对的民主模式.     

Ruin Probabilities of a Dual Markov-Modulated Risk Model

This article is devoted to studying a dual Markov-modulated risk model, which can properly represent, to some extent, surplus processes of companies that pay costs continuously and have occasional gains. We consider both the finite and infnite horizon ruin probabilities under this dual model. Upper and lower bounds of Lundberg type are derived for these ruin probabilities. We also obtain a time-dependent version of Lundberg type inequalities.     

A PTAS for the minimum weighted dominating set problem with smooth weights on unit disk graphs

In the minimum weighted dominating set problem (MWDS), we are given a unit disk graph with non-negative weight on each vertex. The MWDS seeks a subset of the vertices of the graph with minimum total weight such that each vertex of the graph is either in the subset or adjacent to some nodes in the subset. A?weight function is called smooth, if the ratio of the weights of any two adjacent nodes is upper bounded by a constant. MWDS is known to be NP-hard. In this paper, we give the first polynomial time approximation scheme (PTAS) for MWDS with smooth weights on unit disk graphs, which achieves a (1+ε)-approximation for MWDS, for any ε>0.     

善言感伤——浅谈《淮海词》赢得盛誉的重要原因

秦观词赢得历代词评家们的盛誉，其中一个很重要的原因，就在于他的善于塑造和表现凄怨、感伤之美的特色。这种特色使秦词更吻合于词体独具的善言凄怨、感伤的美学特征，亦使秦词在总体风貌上，比其他词家显得更加“本色”和“当行”。秦词在注重词体自身独特个性的前提下，对词境作了进一步的深化，使之更加意味深长和含蓄隽永，其成功是不应该被轻视的     

关于同调代数的几点注记

将蛇引理推广到双蛇引理，将3×3引理推广到3×n引理、3×3×3引理，并研究了与正合平面、正合立体有关的几个问题及立体交换图问题．     

《文心雕龙》的意象创构论

刘勰在《文心雕龙》中把意象创构看成创作和审美活动的关键,论述了艺术语言与意象传达之间的辩证关系,强调意象创构过程中主客体之间和谐一致的互动关系,并在此基础上讨论了言、象、意三者之间的辩证关系,充分肯定了道在意象创构过程中的本体意义。同时,刘勰还从想象和比兴的角度论述了意象创构过程中的主客观因素,尤其突出了主体情感在意象创构过程中的能动性、创造性以及主导作用,解决了意象创构过程中主客观辩证统一的问题。这是中国文论史上第一个系统的审美意象观,由此形成了中国文艺美学思想中重视意象的传统。     

形势政策教育与视野拓展

宏观视野是大学生在全球化和中国崛起的双重背景下所应具有的思维、能力、素质的综合体现。通过加强完善思想政治教育体系,改革现有大学教育模式,充分利用形势与政策教育平台,加强大学生思维向度的国际视野教育、责任意识的社会视野教育和知识能力的学科视野教育,具有十分重要的意义。     

Nonparametric Covariate-Adjusted Association Tests Based on the Generalized Kendall's Tau()

Identifying the risk factors for comorbidity is important in psychiatric research. Empirically, studies have shown that testing multiple, correlated traits simultaneously is more powerful than testing a single trait at a time in association analysis. Furthermore, for complex diseases, especially mental illnesses and behavioral disorders, the traits are often recorded in different scales such as dichotomous, ordinal and quantitative. In the absence of covariates, nonparametric association tests have been developed for multiple complex traits to study comorbidity. However, genetic studies generally contain measurements of some covariates that may affect the relationship between the risk factors of major interest (such as genes) and the outcomes. While it is relatively easy to adjust these covariates in a parametric model for quantitative traits, it is challenging for multiple complex traits with possibly different scales. In this article, we propose a nonparametric test for multiple complex traits that can adjust for covariate effects. The test aims to achieve an optimal scheme of adjustment by using a maximum statistic calculated from multiple adjusted test statistics. We derive the asymptotic null distribution of the maximum test statistic, and also propose a resampling approach, both of which can be used to assess the significance of our test. Simulations are conducted to compare the type I error and power of the nonparametric adjusted test to the unadjusted test and other existing adjusted tests. The empirical results suggest that our proposed test increases the power through adjustment for covariates when there exist environmental effects, and is more robust to model misspecifications than some existing parametric adjusted tests. We further demonstrate the advantage of our test by analyzing a data set on genetics of alcoholism.