影响中国房地产价格的因素及其程度分析

本文结合数据分组处理方法(GMDH)和可行广义最小二乘法(FGLS),分析了影响中国房地产价格的主要因素及其影响程度,解释了近年来中国房地产市场的一些现象.本文的结论不仅对于国家制定宏观经济政策调节房地产市场的健康发展具有参考价值,对于房地产开发商的合理战略决策也具有指导意义.     

影响中国房地产价格的因素及其程度分析

本文结合数据分组处理方法(GMDH)和可行广义最小二乘法(FGLS),分析了影响中国房地产价格的主要因素及其影响程度,解释了近年来中国房地产市场的一些现象。本文的结论不仅对于国家制定宏观经济政策调节房地产市场的健康发展具有参考价值,对于房地产开发商的合理战略决策也具有指导意义。     

支持分组计算的XML查询平台研究

XML数据是Web上数据交换的事实标准,对XML数据管理的研究具有非常重要的意义.目前,XML文档的查询语言主要有XQuery和XPath,但都缺少分组计算等数据管理功能.针对这些问题,文章分析了目前主流支持XML数据管理的DOM模型,结合标准SQL语言的查询语法,构建了一个符合SQL语法规范、支持分组计算等复杂查询的XML数据查询平台GQXML.实验结果显示,GQXML平台有效实现了分组计算等复杂XML数据查询功能.     

河北省农村居民收入影响因素的实证分析

本文基于2010—2016年河北省农村居民收入分组数据,运用多元回归分析研究河北省农村居民收入变动及其影响因素。实证结果表明:河北省全省生产总值、每万人口拥有当年大学生毕业生数、农业产业化经营率均对农村居民收入有正向影响,农产品生产价格指数对农村居民收入有负向影响。     

大数据对电商企业的影响研究——以淘宝数据王国为例

2010年“云数据”开启大数据时代的大门,以交易为核心的消费数据、商品数据爆炸式增长,这给电商企业带来了机遇和挑战.文章将利用案例分析的方法选取具有代表性的淘宝作为案例研究对象,探讨大数据对电商企业的影响.结果发现,大数据可以提高用户体验、提高电商企业决策效率、促进电商行业信息公开化.     

数据融合在电子电路故障诊断中应用分析

与目前采用的将元件温度和结点电压信息进行融合处理的方法不同,数据融合方法的独到之处是,直接将几种不同的电路诊断方法进行融合处理,无需温度测量等设备,实用性强、诊断成本低.本文结合案例分析了数据融合在电子电路故障检测中的应用.     

排列、组合中的分组分配问题的解法

分组分配问题是排列、组合中的重要问题,分组的三种情形:完全非平均分组,平均分组,部分平均分组,分配的两种情形:定向分配,非定向分配.并总结出解决分组分配问题的具体方法分组问题的解法是:先有序分组,再无序处理;分配问题的解法是:边分组边分配,先分组再分配.先分组再分配是一种常用方法.     

分组码分多址接入协议研究

本文提出一种用于语音／数据综合业务个人通信网的多址接入协议。该协议基于码分多址技术，分组预约方式，并采用了信道资源动态分配技术。其吞吐量，接入时延，呼损率等性能指标都得到了一定的提高。本文对协议性能进行了分析，并提出了计算机模拟认真的方法。     

基于改进型深度学习的流量预测

为了解决无线网络中流量的预测精度不高的问题，提出了一种自适应分组的栈式自编码(AG-SAEs)深度学习预测方法。在数据的预处理过程中，首先使用最大最小方式对数据进行归一化处理，并提出一种新型的自适应分组方法，把归一化后的链路数据进行关联性分组；然后，基于深度学习方法建立了一个多输入多输出的预测模型，并将分组后的数据输入到预测模型中，对该模型进行训练来建立输入和输出流量之间的映射关系；最后，为了进一步提高预测精度，在模型的训练过程中，使用改进型的牛顿法来进行权值参数更新。仿真实验以及和其他算法对比的结果证实了所提方案具有更小的预测相对误差。     

大数据背景下影响CPI的因素浅析——基于Bootstrap方法

文中针对新时代下大数据环境进行了简短介绍,并对大数据环境下的政府统计方法进行了分析,描述了扫描数据的应用对推进大数据统计工作的作用.以CPI的影响因素分析为重点,运用Bootstrap方法进行回归拟合,并与线性回归拟合效果进行比较,发现Bootstrap方法大大提高了拟合精度,使得预测结果更加准确.对于模型采用国际统计软件R语言进行算法实现,有效地结合了当代环境的大数据背景.结论强调在数据以海量规模产生的当下,应去冗存精,在有效数据的前提下进行数据的价值分析.     

融资约束与资本结构的非对称调整——基于动态门限模型的经验证据

以1999—2009年中国上市公司面板数据为研究对象,围绕融资约束对资本结构调整行为的影响,以公司规模和现金持有水平作为衡量融资约束的指标,采用动态面板门限模型展开研究。结果表明,大规模和高现金持有的公司会表现出更快的调整速度,非融资约束公司比融资约束公司的调整速度要快30%以上。本文解决了以往研究中存在的分组模糊性及忽视个体异质性缺陷的问题,实证发现融资约束程度的降低能有效提高公司的资本结构调整速度。     

Usefulness of financial ratios in a single industry

This paper reports the findings of a study on the relationship and ratio grouping of a well-published set of financial ratios within the context of a single, homogenous industry. The findings provide some insight into the validity of using single-industry ratio averages as standards to evaluate individual firm performance. Factor analysis was used to study the interrelationship among the ratios and to determine whether these ratios group in the “traditional” category of ratios suggested in the financial statement analysis literature. This analysis was followed by a cluster analysis of the composite ratios derived from the factor analysis to determine whether any consistent and stable statistical grouping of firms developed over time within the industry. These analyses were done for 72 companies for the period 1966–1975 using Dunn and Bradstreet ratios and Compustat data.     

商业FDI对本土制造业:溢出还是挤出——基于中国省级面板数据的实证研究

本文利用我国29个省市2003-2008年的面板数据,实证研究了商业FDI对我国本土制造业的影响。在对外资商业影响本土制造业的路径进行理论分析的基础上,构建了两类指标反映外资商业的不同影响渠道,并按地区类别进行分组检验,考察了本土企业的吸收能力和内资企业的技术差距对溢出效果的影响。结果表明,外资商业对我国本土制造业的影响具有明显的地区差异,通过对本土商业企业的竞争示范效应促进了东、中部地区制造业的发展,对西部地区当地制造业发展的影响则主要是通过人员流动效应实现的;实证结果还表明,企业的吸收能力越强,技术差距越小,越有利于外资商业正向作用的发挥。     

Pricing American Options Fitting the Smile

This paper is a compendium of results—theoretical and computational—from a series of recent papers developing a new American option valuation technique based on linear programming (LP). Some further computational results are included for completeness. A proof of the basic analytical theorem is given, as is the analysis needed to solve the inverse problem of determining local (one‐factor) volatility from market data. The ideas behind a fast accurate revised simplex method, whose performance is linear in time and space discretizations, are described and the practicalities of fitting the volatility smile are discussed. Numerical results are presented which show the LP valuation technique to be extremely fast—lattice speed with PDE accuracy. American options valued in the paper range from vanilla, through exotic with constant volatility, to exotic options fitting the volatility smile.     

Networks to Enforce European Law: The Case of the Consumer Protection Cooperation Network

Central to this paper is the aim to discuss the effectiveness of the Consumer Protection Cooperation Network (also known as ??CPC Network??) for consumer protection in cross-border disputes in the European Union (EU). In doing so, this paper deals with the literature about networks established by grouping the Commission and national authorities to enforce European Law. The examples of the European Competition Network and the CPC Network are interesting because they raise questions with regard to the effectiveness and the accountability of emerging network-based law enforcement. The development of the CPC Network may have relevant implications for other areas of EU law and policy, including the question whether network-based governance could be transposed in other fields of EU Law.     

Do Employees Care About CSR Programs? A Typology of Employees According to their Attitudes

This paper examines employees’ reactions to Corporate Social Responsibility (CSR) programs at the attitudinal level. The results presented are drawn from an in-depth study of two Chilean construction firms that have well-established CSR programs. Grounded theory was applied to the data prior to the construction of the conceptual framework. The analysis shows that the implementation of CSR programs generates two types of attitudes in employees: attitudes toward the organization and attitudes toward society. These two broad types of attitudes can then be broken down into four different categories: (1) acceptance of the new role of the organization, (2) identification with the organization, (3) importance attached to the work performed and (4) a sense of social justice. In turn, each of these categories is a grouping of many different concepts, some of which have at first sight little to do with CSR. Finally, the analysis reveals an attitudinal employee typology: the committed worker, the indifferent worker, and the dissident worker.     

Some conjectures about access to US health care for disposed people

This paper hypothesizes the extent of access to health care by disposed people, particularly in the US. The disposed are people ‘thrown away’ as used‐up commodities. This paper briefly examines the theoretical idea of disposability. It then presents the basic results of new research showing that a sample of Americans sees that people in several different occupations are equally liable to be disposed. The section that follows proposes that the access these disposed people have to the US health‐care system is minimal overall and is not likely to improve. Because this total grouping has not previously been studied as a whole, these hypothetical findings are partly based on subsets of the disposed: the poor; those without health insurance; and the unemployed.     

能陷理论在研究和设计低噪声石英谐振器中的应用

本文引用Shockley等人进行“能陷”分析得出的基本结论,将其用来研究和设计低噪声石英谐振器。将AT切型石英晶片等效为一组合“声波导”,经过推导与分析引出了与控制晶片中噪声有关的“响应带宽”和“内调制”两个参量,这两个参数可以通过设计谐振器的晶片和电极来加以控制。文中对设计制成的低噪声100MHz石英谐振器及其应用情况均作了介绍,列出了一些测试数据,得到了比较满意的结果,表明所提出的设计方法是有效的。     

Inaccuracy in foreign trade statistics of LDCs: The case of the ASEAN area

The foreign trade statistics of developing countries are relatively abundant and generally considered more reliable than data on their national accounts. This study reports the results of an accuracy test applied to export and import data from five developing countries (Indonesia, Malaysia, the Philippines, Singapore and Thailand), all members of ASEAN, a grouping which offers a particularly interesting sample of developing countries for this type of investigation.     

Online Price Discrimination and EU Data Privacy Law

Online shops could offer each website customer a different price. Such personalized pricing can lead to advanced forms of price discrimination based on individual characteristics of consumers, which may be provided, obtained, or assumed. An online shop can recognize customers, for instance through cookies, and categorize them as price-sensitive or price-insensitive. Subsequently, it can charge (presumed) price-insensitive people higher prices. This paper explores personalized pricing from a legal and an economic perspective. From an economic perspective, there are valid arguments in favour of price discrimination, but its effect on total consumer welfare is ambiguous. Irrespectively, many people regard personalized pricing as unfair or manipulative. The paper analyses how this dislike of personalized pricing may be linked to economic analysis and to other norms or values. Next, the paper examines whether European data protection law applies to personalized pricing. Data protection law applies if personal data are processed, and this paper argues that that is generally the case when prices are personalized. Data protection law requires companies to be transparent about the purpose of personal data processing, which implies that they must inform customers if they personalize prices. Subsequently, consumers have to give consent. If enforced, data protection law could thereby play a significant role in mitigating any adverse effects of personalized pricing. It could help to unearth how prevalent personalized pricing is and how people respond to transparency about it.