句法象似性探究及实例分析

语言的任意性特征在现代语言学研究中一直占据统治地位,而象似性没有受到应有的重视。语言的象似性是指语言形式和其概念结构之间存在映照关系,而句法象似性指句法结构的组织形式和人的思维结构之间有着某种自然的对应关系,主要遵循三大理据原则：距离象似、顺序象似和数量象似。理解句法象似性的概念和原则,有助于从认知层面更好地掌握二语习得的规律,从而促进教学活动的顺利开展。     

基于灰色模糊理想解的资格预审评审模型

公开招标资格预审可以缩小承包商范围,减少招标单位的工作量。但是在其实行时存在用模糊语言变量评价的指标按现行资格预审评审方法不能有效处理这一问题,甚至存在因专家主观因素影响或暗箱操作而导致的评审过程不规范现象。为此,提出一种基于灰色关联度和理想解的多属性决策模型,综合考虑决策过程中的灰色信息和模糊信息,充分考虑招标人对指标的偏好性,利用模糊优先关系比较级的方法为指标合理赋权,通过比较方案与正负理想区间方案的灰色关联度和欧氏距离来构造相似接近度,从整体角度实现对潜在投标人的评价和排序。     

Batch sequential designs for computer experiments

Computer models simulating a physical process are used in many areas of science. Due to the complex nature of these codes it is often necessary to approximate the code, which is typically done using a Gaussian process. In many situations the number of code runs available to build the Gaussian process approximation is limited. When the initial design is small or the underlying response surface is complicated this can lead to poor approximations of the code output. In order to improve the fit of the model, sequential design strategies must be employed. In this paper we introduce two simple distance based metrics that can be used to augment an initial design in a batch sequential manner. In addition we propose a sequential updating strategy to an orthogonal array based Latin hypercube sample. We show via various real and simulated examples that the distance metrics and the extension of the orthogonal array based Latin hypercubes work well in practice.     

距离矢量路由算法及其在RIP应用中的收敛优化方法

距离矢量路由算法是一种典型的路由算法,本文介绍了该算法,分析算法存在的缺陷,并针对其在RIP协议应用中的收敛性问题提出优化方法.     

现代远程教育的质量观及其质量保证

在现代远程教育领域,随着远程开放教育的快速发展,教育质量问题正成为目前备受关注的热点和难点问题之一。从远程教育的质量观出发,阐述远程教育质量体系,远程教育质量保证的涵义和作用。在分析当前远程教育存在质量问题的基础上,探索远程教育质量保证的实现途径。     

现代远程教育中的教师

近五年多来,现代远程教育在国内得到了巨大的发展。然而对远程教育的认识尚未到位,现代远程教育的质量也有待提高。要搞好现代远程教育,保证远程教育的教学质量,关键是教师。从事现代远程教育的教师需要转变观念,在理论引导、素质要求、教学模式、教学能力等方面不断适应现代远程教育发展的需求,同时管理部门对从事现代远程教育的教师应有新的评价体系。     

Semiparametric estimation in copula models

The author recalls the limiting behaviour of the empirical copula process and applies it to prove some asymptotic properties of a minimum distance estimator for a Euclidean parameter in a copula model. The estimator in question is semiparametric in that no knowledge of the marginal distributions is necessary. The author also proposes another semiparametric estimator which he calls “rank approximate Z‐estimator” and whose asymptotic normality he derives. He further presents Monte Carlo simulation results for the comparison of various estimators in four well‐known bivariate copula models.     

远程教育的成本分析

本文探讨了远程教育的运行成本构成,分析了各成本项的构成依据以及影响成本的主要因素,引入了质量评价结果形成的修正系数,并分析了修正系数对运行成本产生的影响.     

A note on penalized minimum distance estimation in nonparametric regression

The authors introduce a penalized minimum distance regression estimator. They show the estimator to balance, among a sequence of nested models of increasing complexity, the L¹ ‐approximation error of each model class and a penalty term which reflects the richness of each model and serves as a upper bound for the estimation error.     

K_N在Q_n中的两个优美嵌入

本文将给出超立方体Q_(38)、Q_(55)中的两个最大顶点子集的优化构造,使得这个子集中的顶点的两两距离互不相同。