Efficiency improvement from multiple perspectives: An application to Japanese banking industry

The current study focuses on efficiency improvement for banking systems from multiple perspectives, which have different definitions of input/output about various attributes of a banking system. In this research we utilize data envelopment analysis (DEA) and Nash bargaining game (NBG) theory to improve inefficient banks in order to: (1) Make the inefficient bank be the state of Pareto Optimality for multiple perspectives, which can avoid discontentment of some perspectives. (2) Improve a bank by changing its attributes and provide various improving schemes for decision makers. A numerical case study of Japanese banks is also given to show the results of equilibrium solution from multiple perspectives.     

隐含概念漂移的数据流分类算法研究

数据流具有快速性、连续性、多变性及无限性等特性，使得传统的分类方法不再适用。由于数据流多变的特性，设计高效、高精度的分类算法是比较困难的。目前数据流在电信、网络等众多应用领域客观大量存在，因此研究快速的、精确的、稳定的数据流分类系统具有较高的理论价值和应用前景。近年来，大量的研究工作都旨在高效准确地解决隐含概念漂移的数据流的分类问题。本文研究了一些适合数据流的分类算法，根据算法主要思想的不同进行分类，根据每种思想的发展历程对其相应的算法进行论述，并对部分经典算法分析其处理概念漂移的性能，并对进一步可做的工作进行展望。     

Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market

We propose a Bayesian approach for inference in a dynamic disequilibrium model. To circumvent the difficulties raised by the Maddala and Nelson (1974) specification in the dynamic case, we analyze a dynamic extended version of the disequilibrium model of Ginsburgh et al. (1980). We develop a Gibbs sampler based on the simulation of the missing observations. The feasibility of the approach is illustrated by an empirical analysis of the Polish credit market, for which we conduct a specification search using the posterior deviance criterion of Spiegelhalter et al. (2002).     

In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?

It is widely known that significant in-sample evidence of predictability does not guarantee significant out-of-sample predictability. This is often interpreted as an indication that in-sample evidence is likely to be spurious and should be discounted. In this paper, we question this interpretation. Our analysis shows that neither data mining nor dynamic misspecification of the model under the null nor unmodelled structural change under the null are plausible explanations of the observed tendency of in-sample tests to reject the no-predictability null more often than out-of-sample tests. We provide an alternative explanation based on the higher power of in-sample tests of predictability in many situations. We conclude that results of in-sample tests of predictability will typically be more credible than results of out-of-sample tests.     

Testing for Circular Reflective Symmetry about a Known Median Axis

Circular data arise in many contexts, a particularly rich source being animal orientation experiments. Often, in the analysis of such data, a fundamental question of scientific interest is whether the underlying distribution is reflectively symmetric about some specific axis. In this paper, the situation in which the axis of interest is known to be a median axis is considered and a simple, asymptotically distribution- free test for circular reflective symmetry against skew alternatives is developed. The results from a simulation study lead to a testing strategy incorporating the new test and the circular analogue of the modified runs test of Modarres & Gastwirth (1996). The application of the testing strategy is illustrated using circular data arising from two animal orientation experiments.     

Production efficiency in Indian agriculture: An assessment of the post green revolution years

In this paper we use the nonparametric method of Data Envelopment Analysis (DEA) to obtain Pareto-Koopmans measures of technical efficiency of individual states over the years 1970–71 through 2000–01 in a multi-output, multi-input model of agricultural production. We disaggregate overall efficiency into two distinct components representing output and input efficiencies and identify the contribution of individual outputs and inputs to the measured level of overall efficiency. Because introduction of modern inputs has been a major component of the process of modernization of Indian agriculture, we examine to what extent different states succeeded in utilizing the modern inputs compared to the traditional inputs. Variations in the DEA efficiency scores across states and over years is explained in terms of differences in various institutional and demographic factors in a second stage regression analysis.     

浅析会计电算化和会计信息化

会计电算化和会计信息化是在计算机技术和网络技术广泛普及,现代信息技术不断创新的基础上发展并逐步成熟的,本文论述了会计电算化的含义、发展历程及局限性,会计信息化的含义及特点,并对会计电算化和会计信息化进行了比较,探析了会计信息化的几个重要特点和发展方向.指出了大力推进会计信息化的发展,已成为我国经济社会发展新阶段重要而紧迫的战略任务.在我国,会计信息化尚处于起步阶段,必须构建涵盖技术、管理、法律及人才等措施的保障体系,从而增强会计信息化的可实施性和可发展性.     

国内美籍华裔文学研究论文分析(1980-2005)

本文对《中国期刊全文数据库》和《报刊资料索引》中收录的1980—2005年国内美籍华裔文学研究论文从年代分布、期刊分布、作者分布和主题分布等方面进行了统计分析。文章从论文的数量、质量、形式、主题、研究队伍等方面讨论美籍华裔文学研究的发展态势,指出,美籍华裔文学研究从80年代起经历了一个较为缓慢的过程,到本世纪走向成熟。研究者队伍、论文的内容、层次呈多样化,但目前还存在诸多空白需要填补。     

高校财务信息管理系统的软件分析

在现代社会 ,信息是企业单位的神经元。特别是随着社会主义市场经济体制的建立和会计电算化的发展 ,高等学校的财务管理工作也发生了较大的变化 ,传统的财务管理方法面临着一场深刻的革命 ,加强对会计信息的管理 ,已成为高等学校会计管理工作的重要任务     

数据挖掘中关联规则算法的考察

文章从算法角度对关联规则的提出、演变过程和前沿研究进行了较为详细的考察,并在此基础上提出了关联规则未来研究的领域和发展趋势。文章先详细地考察了关联规则的三类典型算法,然后总结了基于复杂数据属性的关联规则算法扩展。为考察其他方面的算法扩展和介绍其他学科领域对关联规则的研究奠定了基础。