MINIMUM QUADRATIC DISTANCE ESTIMATION FOR A PARAMETRIC FAMILY OF DISCRETE DISTRIBUTIONS DEFINED RECURSIVELY

The distribution function of a random sum can easily be computed iteratively when the distribution of the number of independent identically distributed elements in the sum is itself defined recursively. Classical estimation procedures for such recursive parametric families often require specific distributional assumptions (e.g. Poisson, Negative Binomial). The minimum distance estimator proposed here is an estimator within a larger parametric family. The estimator is consistent, efficient when the parametric family is truncated, and can be made either robust or asymptotically efficient when the parametric family has infinite range. Its asymptotic distribution is derived. A brief illustration with Automobile Insurance data is included.     

光学分辨率判据和可见度

本文研究了两个非相干点光源靠近时，在圆孔的夫琅和费衍射下两个光斑之间可见度的变化情况。对于不同判据，可见度有明显差异，表现出各种判据的不一致性。同时还研究了光栅的夫琅和费衍射，当两明条纹很靠近时，可见度的变化情况。同样可以得到各判据相应的数值。     

DEA,directional distance functions and positive,affine data transformation

In this paper we take up the problem of positive, affine data translation within a Data Envelopment Analysis (DEA) framework.     

Inverse maximum flow problems under the weighted Hamming distance

In this paper, we consider inverse maximum flow problem under the weighted Hamming distance. Four models are studied: the problem under sum-type weighted Hamming distance; the problem under bottleneck-type weighted Hamming distance and two mixed types of problems. We present their respective combinatorial algorithms that all run in strongly polynomial times.Research supported by the National Natural Science Foundation of China (60021201), and the Hong Kong Research Grant Council under CERG CityU 9041091 and CUHK 103105.     

消费者信用评估中的PCALWM方法研究

设计了一种基于主成分线性加权模型(PCALWM)的消费者信用评估方法,具有评估的客观性、可行性、适应性等优点。使用真实信用卡数据的实证检验表明模型分类效果比较好,具有较好的应用价值。     

Building Strategic Technology Alliances for Teaching and Learning

There is a major need for higher education to confront intense competition, enhance academic programs to meet the challenges of this competition, and to develop new teaching and learning strategies to meet the demands of the global marketplace. Technology and the Internet are intended to break down the barriers of time and space and enable more students to participate and collaborate with faculty and other students. Critical thresholds must be met in order to use technology to communicate, collaborate, and transform teaching and learning. Strategic technology alliances establish a partnership between technology vendors and higher education that will achieve these thresholds to meet the teaching and learning needs of the 21st century student. This revised version was published online in July 2006 with corrections to the Cover Date.     

关于技术作业能力与铁路精益生产的探讨

精益生产起源于汽车制造业，如果把精益生产应用于提供无形空间位移服务的铁路运输企业，还必须符合铁路运输生产的技术经济特征，才能取得理想的效果。铁路运输资源具有一定的技术作业能力，主要表现为随着运输资源空间作业距离的延长，以及与作业距离相关的密度、速度、时效、重量等运输指标的改善，铁路平均生产成本出现了递远递减的基本特征。精益生产通过资源整合、组织边界调整、激励约束机制设计等手段，能够充分实现运输距离经济性，改善精益生产的实施效果。     

Tilting methods for assessing the influence of components in a classifier

Summary.  Many contemporary classifiers are constructed to provide good performance for very high dimensional data. However, an issue that is at least as important as good classification is determining which of the many potential variables provide key information for good decisions. Responding to this issue can help us to determine which aspects of the datagenerating mechanism (e.g. which genes in a genomic study) are of greatest importance in terms of distinguishing between populations. We introduce tilting methods for addressing this problem. We apply weights to the components of data vectors, rather than to the data vectors themselves (as is commonly the case in related work). In addition we tilt in a way that is governed by L ₂-distance between weight vectors, rather than by the more commonly used Kullback–Leibler distance. It is shown that this approach, together with the added constraint that the weights should be non-negative, produces an algorithm which eliminates vector components that have little influence on the classification decision. In particular, use of the L ₂-distance in this problem produces properties that are reminiscent of those that arise when L ₁-penalties are employed to eliminate explanatory variables in very high dimensional prediction problems, e.g. those involving the lasso. We introduce techniques that can be implemented very rapidly, and we show how to use bootstrap methods to assess the accuracy of our variable ranking and variable elimination procedures.     

英汉表量结构中物量词的隐喻构建机制

从历时和共时的角度证明隐喻认知在英汉表量结构物量词的建构过程中的重要作用。在从共时角度分析英汉表量结构的隐喻现象的同时,试图对其中的物量词与名词之间的异常搭配现象作简要归纳。主要归纳出两类隐喻性的异常搭配现象:一是映射型名量搭配,一是错位型名量搭配,它们分别反映出不同的隐喻认知构建机制。     

关于技术作业能力与铁路精益生产的探讨

精益生产起源于汽车制造业，如果把精益生产应用于提供无形空间位移服务的铁路运输企业，还必须符合铁路运输生产的技术经济特征，才能取得理想的效果。铁路运输资源具有一定的技术作业能力，主要表现为随着运输资源空间作业距离的延长，以及与作业距离相关的密度、速度、时效、重量等运输指标的改善，铁路平均生产成本出现了递远递减的基本特征。精益生产通过资源整合、组织边界调整、激励约束机制设计等手段，能够充分实现运输距离经济性，改善精益生产的实施效果。