Statistical mining of interesting association rules

This article utilizes stochastic ideas for reasoning about association rule mining, and provides a formal statistical view of this discipline. A simple stochastic model is proposed, based on which support and confidence are reasonable estimates for certain probabilities of the model. Statistical properties of the corresponding estimators, like moments and confidence intervals, are derived, and items and itemsets are observed for correlations. After a brief review of measures of interest of association rules, with the main focus on interestingness measures motivated by statistical principles, two new measures are described. These measures, called α- and σ-precision, respectively, rely on statistical properties of the estimators discussed before. Experimental results demonstrate the effectivity of both measures.     

加强企业内部会计控制建设

随着我国与国际经济融合的加速,提高企业管理效率,增强企业竞争力对企业而言,越来越重要。构建以内部会计控制为核心的现代企业内部控制体系、提高企业管理效率成为企业当务之急。     

企业并购理论研究评述

本文在分析相关文献的基础上,从一个独特的角度,将现有理论按照并购事件的先后顺序分为并购动因研究、并购过程研究、并购效应研究三个方面,详细论述了企业并购理论研究的现状,并提出了若干研究前沿。     

董事会对公司战略过程评价:逻辑架构与指标体系

公司的战略管理是所有管理活动的重中之重.它包括战略判断、计划与预算活动、战略执行以及适威Adaptive)与交互(Interactive)性的战略控制体系.而现代公司治理原则要求董事会应关注和评价公司的战略管理活动.本文进一步认为,在资本市场不够发达的情况下,董事会应关注公司战略管理的奎过程为此,我们提出了一个针对公司战略管理体系有效性评价的基本框架和评价指标体系,目的在于使公司治理有效地作月于管理过程,最终为企业创造价值.     

组织内的信任与控制:一个理论模型

组织内的信任与控制的关系是本研究的中心内容。为此目的,本文首先系统研究了人际信任的影响因素,认为施信方的信任倾向、相对易损性,以及受信方的可预测性、可接受性、能力是信任决策的主要影响因素。在对信任影响因素进行分析的基础上,本文认为,组织内的控制主要是通过对可预测性及可接受性的影响进而影响到信任的形成和发展;恰当的控制可以通过提高组织成员行为的可预测性和可接受性从而促进信任的形成和发展,此时控制与信任主要表现为互补关系;过多的控制则会降低可接受性进而阻碍信任的形成和发展,此时两者主要表现为替代关系。     

Financial Reforms of Statutory Bodies in Singapore: Control and Autonomy in a Centralized State

This article explores the major financial reforms of both government-funded and self-funded statutory bodies in Singapore over the last 7 years. The reforms have been based on two models of administrative reform: the business enterprise model and the bureaucratic efficiency model. In accordance with the business enterprise model, changes have been made to place statutory bodies on a more commercial footing, requiring them to adopt the financial and management practices found in business enterprises and, in doing so, to become more financially self-reliant. The autonomy expected to flow from these reforms has been circumscribed by the retention of key decision-making responsibilities and veto powers at the center of government. The reforms thus indicate ambivalence in the thinking of political and administrative leaders in relation to the management of statutory bodies, allowing them greater freedom as business-like enterprises, but still subjecting them to centrally imposed restrictions and directives.     

Challenges and Opportunities for Statistics and Statistical Education: Looking Back,Looking Forward

The 175th anniversary of the ASA provides an opportunity to look back into the past and peer into the future. What led our forebears to found the association? What commonalities do we still see? What insights might we glean from their experiences and observations? I will use the anniversary as a chance to reflect on where we are now and where we are headed in terms of statistical education amidst the growth of data science. Statistics is the science of learning from data. By fostering more multivariable thinking, building data-related skills, and developing simulation-based problem solving, we can help to ensure that statisticians are fully engaged in data science and the analysis of the abundance of data now available to us.     

Construction of Cross-Over Designs for Comparing Test Treatments with Control Using Terraces

Segregated half-and-half and mutually orthogonal power sequence terraces have been used in this article for the construction of some new families of control balanced cross-over designs, which are Schur-optimal. One of the advantages of using terraces is that designs with larger number of treatments can also be constructed with relative ease. Designs up to 17 treatments have been constructed in this article.     

Accounting for phase I sampling variability in the performance of the MEWMA control chart with estimated parameters

In this article, we assess the performance of the multivariate exponentially weighted moving average (MEWMA) control chart with estimated parameters while considering the practitioner-to-practitioner variability. We evaluate the chart performance in terms of the in-control average run length (ARL) distributional properties; mainly the average (AARL), the standard deviation (SDARL), and some percentiles. We show through simulations that using estimates in place of the in-control parameters may result in an in-control ARL distribution that almost completely lies below the desired value. We also show that even with the use of larger amounts of historical data, there is still a problem with the excessive false alarm rates. We recommend the use of a recently proposed bootstrap-based design technique for adjusting the control limits. The technique is quite effective in controlling the percentage of short in-control ARLs resulting from the estimation error.     

A model of preventive maintenance for parallel,series, and single-item replacement systems based on statistical analysis

Preventive maintenance (PM) scheduling of units is addressed as a crucial issue that effects on both economy and reliability of power systems. In this paper, we describe an application of statistical analysis for determining the best PM strategy in the case of parallel, series, and single-item replacement systems. A key aspect of industrial maintenance is the trade-off between cost and time of performing PM operations. The goals of this study is to determine the best time for performing PM operations in each system and also finding the number of spare parts and facilities in single-item replacement and parallel systems respectively so that the average cost per unit time is minimized. In this proposed maintenance strategy, PM operations are regularly performed on the production unit in equal time intervals. Finally, three examples are presented to demonstrate the effectiveness of the proposed models.