从《史记》、《论衡》等看汉魏晋南北朝“洗涤”语义场

汉魏晋南北朝“洗涤”语义场包含19个成员,各个成员在语义上存在着一些差别,义场格局较先秦发生了很大的变化,有旧词的消亡、新词的产生和原有成员的发展演变。     

高考制度改革给大学物理教学带来的新课题

针对部分缺乏高中物理基础的学生在学习大学物理过程中遇到的特殊困难,给大学物理学教学带来的新问题,结合高考“3 X”制度中的“X”,提出了提高大学物理教学质量的对策。     

康德的表象说及其哲学意义初探

＂表象＂概念与＂先天＂概念一样是构成《纯粹理性批判》的最基本概念。在该书及《逻辑学讲义》、《注解和片段》中,康德都把表象作为原始概念使用,并且存在对表象的不同分类。康德表象说的整分论实质反对理性主义和经验主义哲学家的表象（观念）的类图画论实质,这在近现代哲学史上具有重大意义。在康德试图通过组合来说明＂表象与对象相关＂和其他基本问题时,发现了其哲学体系中的一个＂漏洞＂。     

Relative risk regression for current status data in case‐cohort studies

We propose using the weighted likelihood method to fit a general relative risk regression model for the current status data with missing data as arise, for example, in case‐cohort studies. The missingness probability is either known or can be reasonably estimated. Asymptotic properties of the weighted likelihood estimators are established. For the case of using estimated weights, we construct a general theorem that guarantees the asymptotic normality of the M‐estimator of a finite dimensional parameter in a class of semiparametric models, where the infinite dimensional parameter is allowed to converge at a slower than parametric rate, and some other parameters in the objective function are estimated a priori. The weighted bootstrap method is employed to estimate the variances. Simulations show that the proposed method works well for finite sample sizes. A motivating example of the case‐cohort study from an HIV vaccine trial is used to demonstrate the proposed method. The Canadian Journal of Statistics 39: 557–577; 2011. © 2011 Statistical Society of Canada     

先秦“洗涤”语义场探析

先秦时期＂洗涤＂义场成员众多,洗涤义的下位义由不同的义场成员分别承担。＂一般洗涤动词＂中包含＂濯＂、＂溉（∧）＂、＂涤＂、＂洒＂四词,其中＂濯＂为核心成员,而＂洗＂也已表现出使用范围逐渐扩大的趋势。     

社区共同体的资源整合及其能力建设——社区自组织能力建设路径研究

社区资源包括物质资源、人力资源、组织资源、文化教育资源、社会资本等.提升社区共同体的资源整合能力是实现支持网络从单位到社区转变的重要前提,是社区建设和社区可持续发展的关键,也是社区自组织能力建设的基础.社区共同体的资源整合能力建设需要:(1)发挥社区党组织、居民委员会为主体的居民自治组织、社区群团组织等体制内组织在社区资源整合中的作用;(2)因应居民社区生活的新需要,培育和组建社区资源整合的新载体;(3)建立新型睦邻关系,形成普遍信任、互惠合作的人际关系及其支持网络;(4)建立和完善社区资源共享、成本分摊机制.     

Representations of moments using lower-order conditional moments

Moments and central moments of a random variable X   are expressed as integrals of functions of lower-order conditional moments and the cumulative distribution of X$X$. In particular, sample central moments of order 2k$2k$ are expressed as the sum of between groups variations, providing an analogue to the analysis of variance. Similar expressions are obtained for the expectations of real-valued and measurable functions of X$X$.     

The two-sample -test with a known ratio of variances

We consider the two-sample t-test where error variances are unknown but with known relationships between them. This situation arises, for example, when two measuring instruments average different number of replicates to report the response. In particular we compare our procedure with the usual Satterthwaite approximation in the two sample t-test with variances unequal. Our procedure uses the knowledge of a known ratio of variances while the Satterthwaite approximation assumes only that the two variances are unequal. Simulations show that our procedure has both better size and better power than the Satterthwaite approximation. Finally, we consider an extension of our results to the General Linear Model.     

Estimating the Lyapunov exponent from chaotic time series with dynamic noise

In this paper, we propose an estimator of the Lyapunov exponent of the skeleton for chaotic time series with dynamic noise and prove the consistency of the estimator under some assumptions.     

Time-truncated attribute sampling plans using EWMA for Weibull and Burr type X distributions

Acceptance sampling, widely used in various production industries, is a very vital tool of quality control. In this paper, a new attribute acceptance-sampling plan is developed based on the exponentially weighted moving average statistic under a time-truncated life test when the product lifetime follows the Weibull distribution or the Burr type X distribution. The performance measures such as the probability of acceptance and the average sample number are derived. Tables are constructed for the selection of optimal parameters of the proposed sampling plan so as to minimize the average sample number satisfying the producer's and the consumer's risks. Illustrative example is also given for the application of the proposed plan. It is also shown that the proposed plan requires a smaller sample size compared to the single sampling plan.