浅析城域以太网在生活中的应用

以太网技术正以前所未有的速度向前发展,并向城域网迈进。在众多城域以太网技术中,虚拟专用局域网业务（VPLS）作为一种二层虚拟专用网（VPN）技术,由于技术简单可靠、易于实现等优点而广受关注。     

地方工科类（应用型）高校绩效评价的科学化研究

目前国内对大学或学科的评价指标尚无统一分类标准和科学化评价体系。不同类型的大学由于所承担的任务与培养目标不同,在办学特色、方向和文化背景等方面存在着较大差异,在目前评价指标体系下得到的结果也很难摆脱以偏概全的弊端。鉴此,针对应用型大学在培养人才、服务社会、科学研究等方面的特点,提出适合地方工科类（应用型）高校的评价指标体系,并对评价指标的设计和内涵作出详细说明。     

中国国家软实力研究述评

约瑟夫·奈提出的软实力理论,丰富了国家综合实力的内涵,引起国内外理论界和决策部门的高度重视.国家软实力问题已成为近年来国内外研究的热点.国内学者在全球化、信息化和本土化的语境下,借鉴国外相关研究成果,主要探讨了国家软实力的概念、构成要素、文化软实力、区域软实力及其建设路径等重大理论和现实问题,实现了对约瑟夫·奈软实力理论的"中国化",增强了软实力理论对中国综合国力研究的解释力,对进一步促进我国软实力建设具有重要理论价值.全面提升我国软实力水平,应将文化软实力和区域软实力纳入国家软实力建设的总体框架之内,理性分析我国软实力建设的优势与约束条件,统筹国内外软实力建设,努力实现国家软实力与硬实力的协调发展.     

明清时期《水浒传》研究方法及其现代承传

明清时期《水浒传》研究格局主要由传统的文献学手段、晚明以降的评点式研究、思想评论的二元对立思维模式等方法所支撑。20世纪初以来,现代意义上"水浒学"的形成与丰富,虽然很大程度上归功于对种种西方理论方法的引进与采用,但传统研究方法的优势并没有被完全取代:在《水浒传》的成书、本事、版本及作者等方面,传统的文献学手段依然是最主流、最有效的途径;序跋式批评则在现代《水浒》传播中蜕变为"出版说明"、"前言"、"编者的话"等形式,仍旧发挥着"批评"的功能。20世纪初以来的《水浒传》研究多次被卷入政治斗争,其实也与明清时期《水浒传》思想评论中的二元对立思维模式有着内在的逻辑关联。     

消费者信心指数与消费需求关系研究——以南京市居民消费需求为例

传统消费理论主要是注重对消费者收入与消费支出的关系研究,而新的西方消费者信心指数理论指出,消费者信心指数对消费支出有重要影响,特别是在当前国内消费需求增长缓慢的情况下,如何提高居民消费信心对刺激居民消费支出的增长有着重要的现实意义。运用计量经济模型,并结合南京市居民消费支出增长与消费者信心指数的数量关系,通过实证研究印证了两者间存在紧密相关性,从而建立南京市居民消费函数的主观因素拓展模型,并进而提出提高居民消费需求的政策建议,即在注重对影响消费的客观因素——收入的研究外,还要注重对影响消费的主观因素——消费者信心指数的研究。     

农村居民消费融资需求及影响因素分析——以陕西省渭南市为例

基于渭南市2 636户农户问卷调查数据,从农户分化与演变视觉分析农村居民消费融资需求状况。采用概率模型分析了影响农户融资消费的主要因素是收支的＂非均衡性＂、户主个性、消费环境、城乡融合程度和存贷款利率水平高低。建议调整国民收入分配结构,完善农村基本社会保障体系,推进农村居民生产生活集聚,构建以农户需求为导向的农村金融体系。     

福祉测量方法评述

人们生活质量和生活水平的综合表达是＂福祉＂,对＂福祉＂的量化测度方式总体趋势上更加注重综合的多层面的评估,关注生态环境的因素。着重对经济统计方法如人均国民收入、真实储蓄、可持续经济福利指数、真实进步指标等所形成的福祉量化方法以及社会学调查方法如人文发展指数、社会生产函数所形成的福祉量化方法进行了评述。     

Masking methods that preserve positivity constraints in microdata

Statistical agencies have conflicting obligations to protect confidential information provided by respondents to surveys or censuses and to make data available for research and planning activities. When the microdata themselves are to be released, in order to achieve these conflicting objectives, statistical agencies apply statistical disclosure limitation (SDL) methods to the data, such as noise addition, swapping or microaggregation. Some of these methods do not preserve important structure and constraints in the data, such as positivity of some attributes or inequality constraints between attributes. Failure to preserve constraints is not only problematic in terms of data utility, but also may increase disclosure risk.In this paper, we describe a method for SDL that preserves both positivity of attributes and the mean vector and covariance matrix of the original data. The basis of the method is to apply multiplicative noise with the proper, data-dependent covariance structure.     

Recurrence relations for moments of progressively censored order statistics from logistic distribution with applications to inference

In this paper, we establish several recurrence relations for the single and product moments of progressively Type-II right censored order statistics from a logistic distribution. The use of these relations in a systematic manner allows us to compute all the means, variances and covariances of progressively Type-II right censored order statistics from the logistic distribution for all sample sizes n, effective sample sizes m, and all progressive censoring schemes (R₁,…,R_m). The results established here generalize the corresponding results for the usual order statistics due to [Shah, 1966] and [Shah, 1970]. These moments are then utilized to derive best linear unbiased estimators of the location and scale parameters of the logistic distribution. A comparison of these estimators with the maximum likelihood estimations is then made. The best linear unbiased predictors of censored failure times are briefly discussed. Finally, an illustrative example is presented.     

Detecting mean increases in Poisson INAR(1) processes with EWMA control charts

Processes of serially dependent Poisson counts are commonly observed in real-world applications and can often be modeled by the first-order integer-valued autoregressive (INAR) model. For detecting positive shifts in the mean of a Poisson INAR(1) process, we propose the one-sided s exponentially weighted moving average (EWMA) control chart, which is based on a new type of rounding operation. The s-EWMA chart allows computing average run length (ARLs) exactly and efficiently with a Markov chain approach. Using an implementation of this procedure for ARL computation, the s-EWMA chart is easily designed, which is demonstrated with a real-data example. Based on an extensive study of ARLs, the out-of-control performance of the chart is analyzed and compared with that of a c chart and a one-sided cumulative sum (CUSUM) chart. We also investigate the robustness of the chart against departures from the assumed Poisson marginal distribution.