一种改进的信息检索方法

在数据库系统的基础上，利用模糊数学的方法和工具对传统信息检索进行扩充，从而得到一种改进的信息检索方法。主要包括：提出解决问题的方法、选择实用性强的数据库系统、确定接近于自然语言的隶属函数、构造含模糊化的SQL命令并加以实现。     

Option pricing in the presence of natural boundaries and a quadratic diffusion term

This paper uses a probabilistic change-of-numeraire technique to compute closed-form prices of European options to exchange one asset against another when the relative price of the underlying assets follows a diffusion process with natural boundaries and a quadratic diffusion coefficient. The paper shows in particular how to interpret the option price formula in terms of exercise probabilities which are calculated under the martingale measures associated with two specific numeraire portfolios. An application to the pricing of bond options and certain interest rate derivatives illustrates the main results.     

外汇高顺差形势下外汇统计监测应对策略探讨

在当前外汇收支统计监测中，资本项目和经常项目外汇收支相互融合，离岸外汇收支混入在岸外汇收支，个人跨境外汇收支流动增势迅猛。要加强外汇统计监测，就要加快设计和构建外汇信息统计监测体系，加强统计监测，建立各类监测分析的快捷反应机制。     

统计技术在计量标准考核中的应用

阐述了计量标准考核的现状及存在问题，提出了在计量标准考核中运用数理统计技术的具体方法、步骤，即通过核查标准建立测量过程统计控制，进而实现实验室的运行控制。     

Barriers to the investment in the Concentrated Solar Power sector in Morocco: A foresight approach using the Cross Impact Analysis for a large number of events

The Scenario Analysis methods have often been used by policy makers as an instrument to manage uncertainty and to support the shaping of long-term economy policies. In this research, we apply Scenario Analysis in order to identify the barriers affecting the decision to invest in the Concentrated Solar Power (CSP) sector in Morocco. Our results aim at facilitating the process of defining different paths in strategic political and policy actions. Using data from a survey on a panel of experts, the Cross Impact Analysis (CIA) and the Cross Impact Matrix System (SMIC) techniques are applied. The advantage of these techniques is that they allow including in the analysis the interlinkages between the events that will define the future scenarios. However, their limitation is that the number of events analyzed cannot be too high since the information collected from the experts increases exponentially according to the number of events introduced. We thus expand our analysis with a new methodological approach, combining the use of prospective and statistics techniques. This approach allows addressing the mentioned limitation and applying these techniques, initially restricted to 6 events in its common application, to a large number of events. The results show that uncertainty and informality would be key factors in promoting the arrival of companies in this sector. Additionally, regarding companies that already have a presence in Morocco’s renewable energy sector, an increase in activity would be achieved through improvements in the easing of financial and legal barriers.     

Disclosure‐protected Inference Using Generalised Linear Models

Vast amounts of data that could be used in the development and evaluation of policy for the benefit of society are collected by statistical agencies. It is therefore no surprise that there is very strong demand from analysts, within business, government, universities and other organisations, to access such data. When allowing access to micro‐data, a statistical agency is obliged, often legally, to ensure that it is unlikely to result in the disclosure of information about a particular person or organisation. Managing the risk of disclosure is referred to as statistical disclosure control (SDC). This paper describes an approach to SDC for output from analysis using generalised linear models, including estimates of regression parameters and their variances, diagnostic statistics and plots. The Australian Bureau of Statistics has implemented the approach in a remote analysis system, which returns analysis output from remotely submitted queries. A framework for measuring disclosure risk associated with a remote server is proposed. The disclosure risk and utility of approach are measured in two real‐life case studies and in simulation.     

Modeling and Measuring Economic Reality: Reply to the Reviews

To begin with, we'd like to express our appreciation to our three commentators for their thoughtful and helpful reviews. Like the founders of the subject, we believe, and our reviewers seem to agree, that structural econometrics has the potential to enable us to develop serious working models of how different economies actually operate, and also to tell us something about the changing patterns of their growth and transformation. But both we and our reviewers agree that there is a great deal wrong with the way econometrics is practiced today.     

探索性因子分析中统计方法的比对研究

本文以探索性因子分析中统计方法的选择为目标,针对在许多应用探索性因子分析的文献中存在的统计方法选择不当致使计算结果失真这一现象,对探索性因子分析中的15种统计方法进行了比对研究,并给出了建议。     

Exploring the elements of consumer nostalgia in retailing: Evidence from a content analysis of retailer collages

This article focuses on consumer nostalgia in the retailing environment to identify the types of nostalgic memories evoked by remembering a retailer and the elements associated with such nostalgic memories. A projective technique involving collage construction enabled informants to reflect their feelings about, memories of, experiences with, or relationships with a retailer that they have selected. The findings uncovered three distinct types of retailer-related consumer nostalgic memories and six elements that comprise retailer-related consumer nostalgic memories. The findings of the study offer a comprehensive understanding of retailer consumer nostalgia. Theoretical and managerial implications are discussed.