基于矩阵运算的平面Hilbert曲线向自由曲面上的映射

基于矩阵变化描述生成平面Hilbert曲线的方法简单,易于编程实现,将其进行了正确的空间矢量化,使它能够映射在自由曲面上。分析了矩阵变化描述曲线的思想,结合自由曲面的形成过程,提出将平面Hilbert曲线通过与曲面参数域相对应的方法映射到曲面上的思想,建立了二者之间的映射关系,构建了映射算法,最后用一个具体实例验证了构建算法的可行性。该映射算法为Hilbert曲线的应用扩展到空间区域提供了方法支持。     

齐次及非齐次马氏域变模型在股价泡沫检验中的应用

本文建立非齐次马氏域变模型检验股市价格泡沫,并结合对1996年1月至2010年6月间我国股市价格泡沫程度的实证度量,与齐次马氏域变模型的检验效果进行比较。两模型都能在一定程度上反映我国股票市场价格在各时间段的不同泡沫水平,但非齐次马氏域变模型所得到有泡沫概率和无泡沫概率区分度更高,比齐次马氏域变模型能更加精确的区分各时点上的泡沫水平。实证结果也表明,近期我国应对金融危机的超宽松经济政策对资本市场的刺激作用较为直接,而对实体经济的作用相对滞后,股市泡沫水平再度上升。     

基于CMMI的软件度量分析框架的研究应用

度量是保证软件产品质量的基本手段。本文通过对度量技术的分析研究,结合CMMI模型度量与分析过程域标准,提出了一套基于CMMI的软件度量分析框架。这套框架可以帮助软件组织从没有度量活动逐步发展为基于数据进行管理决策及改进的高成熟度软件组织。     

解工程优化问题的一体化复形法

本文给出了求解约束优化问题的一体化复形法，该方法将可行解和目标优化过程纳入统一框架处理，去掉了原复形法对可行域的凸性要求对初始点和迭代点的可行性随机试验过程。实际算例表明一体化复形法简单、实用、有效，可在工程优化中应用推广。     

企业非效率投资度量及其影响因素研究概览

本文主要总结了国内外学者对企业非效率投资的度量模型、影响因素等方面的研究成果,对非效率投资度量模型进行了评价,并对影响企业投资效率的因素指出拟进一步研究的方向。     

度量空间中的Lipschitz道路及其*积运算

通过距离空间(X,d)上Lipschitz映射,引入了X中的Lipschitz道路的概念,研究了它的一些性质,证明了同一度量空间中两个相交的Lipschitz道路的并也是Lipschitz道路。引入了度量空间X,Y中的Lipschitz道路E,F关于h:[0,1]→E与g:[0,1]→F的*-积E*F│(h,g),证明了当h,g都是Lipschitz满射时E*F│(h,g)为乘积空间X×Y中的Lipschitz道路。     

中国省域新型城镇化的动态耦合协调发展机制研究

城市营运体系涵盖经济系统、人口系统、金融系统、能源系统、环境系统与公共服务系统,新型城镇化应当是这六个子系统全面协调发展的城镇化。首先从理论上分析了六个子系统之间的相互作用与耦合协调发展关系;然后以全国30个省份与直辖市为研究对象,综合评价了六个子系统;利用耦合协调度指标度量各省市六个子系统的耦合协调发展水平;利用σ收敛检验准则各省域耦合协调发展水平的收敛情况;并进一步利用PVAR模型实证度量了六者之间的相互作用关系,解析了欠协调的成因。研究表明,中国省域耦合协调发展水平总体上较高,具有集聚性差异;经济越发达,综合实力越强的省份的耦合协调程度越高;2004-2012年间耦合协调状况并不具有收敛性。     

职业概念隐喻的认知分析及应用

从认知语言学的角度，可以把有关职业的隐喻性描述归纳为四种主要的概念隐喻类型：生命体隐喻、旅途隐喻、竞赛隐喻和匹配隐喻。进一步分析职业概念隐喻的生成机制，发现：除了单个概念隐喻内部源域与目标域之间系统性的映射，还可以归纳出各个隐喻的类别特征即突显属性的映射，这些突显属性通过相似性直接映射到目标域——职业这一义域中，使作为整体概念的职业的特征更加完整。职业概念隐喻具有较大应用价值。     

基于Dijkstra算法的区域路径搜索研究

文章采用将驻留点和线路抽象为二部图中的两类顶点的模型描述有限区域网络路径，用参照距离值度量顶点问路径的长度，考虑换路线因素和距离因素对路径选择行为的影响，在Dijkstra算法基础上，设计了网络最优路径搜索算法引入迭代惩罚函数。     

基于CVaR与平均离差波动限制的投资组合模型

提出了一种基于CVaR的投资组合模型,对组合资产收益率不做正态分布假设,用MAD模型作为一个约束条件,实现波动性度量限制,用上凸效用函数作为一个约束条件,表示风险资产交易费用。实验结果表明,该模型满足实际投资要求,符合实际投资规律,与M-V模型和原始CVaR模型相比具有波动性和风险价值最小化的优势。     

Another look at the Tail Area Influence Function

A new way of computing the Tail Area Influence Function (TAIF) exactly is proposed and a new finite sample robustness measure, based on the TAIF, is introduced. The main properties of this robustness measure are also studied, for both finite and asymptotic sample sizes. Next, a very accurate approximation to the finite sample power function of a test is obtained; this is based on the TAIF plus an iterative procedure. The results are valid when there are no nuisance parameters.     

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

This article presents an application of a bibliometric and visual study of the research carried out on a social science subfield, concretely the consumer behaviour research (CBR), from a longitudinal perspective (period 1966–2008). The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains. Quantitative and qualitative measures are used in order to identify the most prominent themes. Quantitative data are used to put together very related concepts (themes or clusters of topics), while qualitative indicators (as those based on citations) are used to measure the quality and/or impact of the detected themes. The study also uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community. The maps provide insight into the structure of the CBR, visualize the division of the field into several subfields, and indicate the relationships between these subfields. Co-word analysis is the bibliometric technique used to identify the main themes. All this allows us to quantify and visualize the thematic evolution of the CBR. It also helps to both experts and novices to understand the current state of the art of the CBR and to predict where future research could lead.     

Diffusion performance of major steel-making countries: alternative econometric tests

The purpose of this study is to compare the speed of diffusion in major steel-making countries. This is a cross-system analysis, involving industrial market countries (Western Europe, the United States, Canada, and Japan), quasi-market economies (selected newly industrializing countries, India), and the central planning states (the Soviet Union and Eastern Europe). The study reveals that at least in this, significant case, the latter countries are clearly inferior, i.e. slower.The article seeks the most accurate measure of speed of diffusion of one radical steel innovation, the oxygen process. The speed is estimated by regressing a logistic function not applied to the steel industry to date. Parameters of a logistic function are estimated first with linear least squares methods and then with nonlinear (or iterative) least squares, to establish which offers more accurate estimation than the widely used linear approach. It is shown that the iterative method produces a better statistical fit.Associate Professor; the author would like to acknowledge computational assistance by Steve Langolis, Stanford University, and help in updating the author's data on the world steel production provided by Mark Shafter, London School of Economics.     

浅谈利用MAPGIS进行数字化地形图图斑拓扑及属性编辑

如何高效,准确地从数字化地形图中量取图斑面积及属性是测绘工程技术人员经常遇到的问题。本文主要叙述通过对数字化地形图中地形、地物等符号的线型转换,利用MAPGIS软件解决这个问题的工作流程。     

Indifference mapping: An empirical methodology for economic evaluation of the environment

There has been a rapid development of theoretical models to characterise and measure preferences for environmental alternatives. But this development does not seem to have been matched by the development of empirical methodologies to implement these models. The object of this paper is to develop, apply, and test such an empirical method. The method consists of deriving indifference maps to characterize choices between recreational opportunities. Demand curves are derived from the maps. The policy context of the study required the estimation of consumers' surplus values for one of the recreation activities. These values were read off the demand curves. They were validated in a partial prediction test.     

The modelling of demographic-economic change within the context of regional decline: Analytical procedures and empirical results

This paper is concerned with the modelling of demographic-economic change within an input-output framework. Several different modes of such change are identified and iterative and simultaneous mechanisms representing their effects are explored in detail. Analytical methods are developed to measure the consequences of demographic-economic change: particular attention is paid to the problem of assessing the regional impact of transfer payments such as unemployment benefit and old age pensions. The application of these methods is demonstrated using a modelling framework constructed for the Merseyside metropolitan county in North West England.     

Mapping global sustainability report scoring: a detailed analysis of Europe and Asia

This study maps the General Reporting Initiative (GRI) relations for a set of global enterprises. Enterprise interrelationships are built using the Mutual Information (MI) of the data reported by enterprises. From the MI topology, we describe interrelationships among the enterprises using chord diagrams to represent the inter- and intra-connectivity between geographical regions and economic sectors globally, by continent and country. Detailed maps are presented for European and Asian regions/sectors, including the relationship between Europe and Asia’s top reporting countries. Our findings reinforce previous research regarding the role of Europe as a driver of sustainability and its influence worldwide. We also determined that Spain is a major player in Europe and that Northern Europe does not have the assumed leading role mentioned in related studies. Eastern Asia is, by far, the leader of the region, and the GRI maps demonstrate the preponderant role of China in the region and the minimal role of India. MI topology maps outline the behavior of the economic sectors, for all the studied regions. Furthermore, a measure that relates the inter- to intra-connections is presented to describe the internal an external relationships among regions/sectors.     

Marked point process hotspot maps for homicide and gun crime prediction in Chicago

Crime hotspot maps are a widely used and successful method of displaying spatial crime patterns and allocating police resources. However, hotspot maps are often created over a single timescale using only one crime type. In the case of short-term hotspot maps that utilize several weeks of crime data, risk estimates suffer from a high variance, especially for low frequency crimes such as homicide. Long-term hotspot maps that utilize several years of data fail to take into account near-repeat effects and emerging hotspot trends. In this paper we show how point process models of crime can be extended to include leading indicator crime types, while capturing both short-term and long-term patterns of risk, through a marked point process approach. Several years of data and many different crime types are systematically combined to yield accurate hotspot maps that can be used for the purpose of predictive policing of gun-related crime. We apply the methodology to a large, open source data set which has been made available to the general public online by the Chicago Police Department.     

A Review of Statistical Methods for Genome Mapping

Framework maps of the human genome are an important staging post in the on-going effort to sequence the entire genome. The existence of high quality maps is also a prerequistite for studies attempting to determine the location of genes involved in common diseases. The basic experimental approaches to constructing both genetic and physical maps are briefly described as well as their respective uses. A variety of statistical approaches to map construction are outlined including parsimony, maximum likelihood and Bayesian methodologies. The mostly widely used of these, the method of maximum likelihood, is discussed in detail, particularly in the context of physical mapping using radiation hybrids. Finally, current statistical issues and problems in the field of genome mapping are described.     

Planning an emergency department holding unit

A generalized computer simulation model of the queuing process in an emergency department holding unit has been developed to evaluate the effects of changes in demand and utilization policies upon the congestion level in the unit. Bed utilization percentages, census level and daily service level are the criteria used to measure congestion. The model is also used to determine when additional staff are needed and to investigate the extent to which economies of scale exist. The Springfield Hospital Medical Center holding unit is used to demonstrate how this model may be utilized.