An Empirical Analysis of Backlog,Inventory, Production,and Price Adjustments: An Application of Recursive Systems of Log-Linear Models

This article presents an empirical analysis of firms' order backlogs, inventories, production, and price adjustments to unanticipated demand shocks. The data are obtained from quarterly INSEE Business Survey Tests on firms' realizations, expectations, and appraisals of some various economic variables. The analysis is based on the formulation and the estimation of a recursive system of conditional log-linear probability models.     

WEB PAGES, AUTHORS AND AUDIENCES: The meaning of a mouse click

One popular framework for analysing web pages has been to think of them as identity performances on the part of the author. This framework opens up possibilities for analysis of the ways in which identity performances are composed. The personal web pages to which this perspective is most immediately applicable, are, however, now only a small proportion of the overall amount of information available on the World Wide Web. It would be possible, by extension, to analyse institutional web pages as performances of the institutional identity. It is the contention of this paper that to do so is to miss out on some important aspects of web page design: namely that the production of a web page involves understandings not only of the audience for the page but also of the capacities of the technology. In addition, web page production has to become a socially meaningful act for the individual web page developer and the institution concerned. It is, therefore, argued that the analysis of web pages can usefully learn from media studies and the sociology of technology in this respect. An interview-based study of the developers of web pages for the service departments of a UK university is described. The ideas of audience which the authors use are far from homogeneous: they include an institutional offline audience for the page, a pre-existing imagined audience, developers themselves as audience, and the technology of the browser as a stand-in audience. The audience and the capacities of the technology are developed in context through the practices of designers.     

基于滑动窗口的自适应网页预测模型

PPM模型广泛应用于Web预取技术,但大多数的PPM模型不具有自适应性,不能反映用户浏览模式的改变。通过对标准PPM模型的扩展,提出基于滑动窗口的自适应网页预测模型。该模型仅保留处于滑动窗口之内的最近访问序列,从而反映用户兴趣的变化,同时利用非压缩后缀树增量式添加新的用户请求和删除过时的浏览信息,以提高更新速度。实验表明,该模型能更准确地描述用户在Web上的浏览特征,在预取性能上明显地优于以往的模型。     

Web 2.O时代的客户参与管理

参与管理是一种传统的管理方法,但在Web时代却被赋予了新的内涵:客户参与管理.Web 2.0技术更为客户参与提供了便利的平台,为企业提高客户的满意度和忠诚度创造了良好的条件.为企业获利奠定了基础.本文在介绍传统参与管理理论和Web2.0特点的基础上,列举了Web2.O为企业带来的效益,分析了Web 2.O下客户参与管理的优势,为企业的经营运作提供借鉴.     

Using a mixture model for multiple imputation in the presence of outliers: the 'Healthy for life' project

Summary.  We consider the problem of obtaining population-based inference in the presence of missing data and outliers in the context of estimating the prevalence of obesity and body mass index measures from the 'Healthy for life' study. Identifying multiple outliers in a multivariate setting is problematic because of problems such as masking, in which groups of outliers inflate the covariance matrix in a fashion that prevents their identification when included, and swamping, in which outliers skew covariances in a fashion that makes non-outlying observations appear to be outliers. We develop a latent class model that assumes that each observation belongs to one of K unobserved latent classes, with each latent class having a distinct covariance matrix. We consider the latent class covariance matrix with the largest determinant to form an 'outlier class'. By separating the covariance matrix for the outliers from the covariance matrices for the remainder of the data, we avoid the problems of masking and swamping. As did Ghosh-Dastidar and Schafer, we use a multiple-imputation approach, which allows us simultaneously to conduct inference after removing cases that appear to be outliers and to promulgate uncertainty in the outlier status through the model inference. We extend the work of Ghosh-Dastidar and Schafer by embedding the outlier class in a larger mixture model, consider penalized likelihood and posterior predictive distributions to assess model choice and model fit, and develop the model in a fashion to account for the complex sample design. We also consider the repeated sampling properties of the multiple imputation removal of outliers.     

基于Web挖掘的数字图书馆个性化技术探究

通过对Web挖掘技术的分析和研究,介绍了Web挖掘在数字图书馆中的应用,提出基于Web内容挖掘、Web结构挖掘、Web使用挖掘的数字图书馆个性化服务体系.     

基于Web的远程网络教学平台设计

文章针对网络教育发展的需要和国内远程网络教学平台的实际情况,对远程网络教学平台的设计思路及总体结构设计进行了研究与探讨,并介绍了远程网络教学平台的功能模块设计与开发设计采用的关键技术。     

当代音系理论管窥

20世纪60年代,生成音系学诞生,开始了音系研究的崭新阶段。70年代以后,非线性音系理论提出,使得音系研究更为立体。80年代以来,各种观点和流派异彩纷呈,蔚为大观。当代音系理论的出现,极大地推动了语音系统的研究,丰富了语言理论的探索。     

Web挖掘技术在搜索引擎中的应用与实现

介绍W eb挖掘技术及搜索引擎相关知识,并通过PageRank-pro W eb结构挖掘器和页面解析器中文分词两个实现来描述W eb挖掘技术在搜索引擎中的实现过程。