基于WEB方式的电子政务初探

本提出了基于WEB方式的电子政务设计、开发、运营方法和技术平台的总体框架。描述了电子政务数据开发模型的雄度，电子政务系统工程的实施原则、实施步骤及应用系统集成的一整套的实践模型。     

电磁场中带电粒子束运动的力学模拟

研究以不同初速度进入互相垂直的匀强磁场和均强电场中的带电粒子束的运动情形，并同相似的力学运动相比拟，建立了直观的力学模型。     

期权理论在高新企业价值评估中的应用

分析了高新技术企业特点，说明了传统的企业价值评估方法不能应用于对高新技术企业的评估。如果把高新技术企业投资看成是为了获得一个未来取得现金流的机会，高新技术企业具有期权性质，就可以用期权理论及Black-Scholes模型评估高新企业的价值。     

基于GM（1，1）模型的某高校招生人数预测

分析了近年来我国高校招生人数的变化趋势，并利用GM（1，1）模型对某高校2008年的招生人数进行了预测．从而为高校招生人数决策提供了依据。     

多档次概率罐子模型估计的渐近性质

对多个处理且试验结果为多档次的临床试验,构建了其概率罐子模型。研究了模型中每个处理试验结果发生的概率。利用极大似然估计方法得到其估计量,并获得此估计量具有渐近正态性。     

应用型高技能数控人才实训模式的研究——以井冈山大学工学院为例

本文介绍了应用型高技能数控人才的培养目标,从加大设备投入、安装通用软件、保证学生实践时间、建立一支高水平师资队伍、加强校企合作这些方面着手,建立了一套较为完善的实训模式,以增强学生的编程、操作、软件应用等方面的能力。     

On the Circulant and Aperiodic Models of Deconvolution

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Forecast accuracy after pretesting with an application to the stock market

In econometrics, as a rule, the same data set is used to select the model and, conditional on the selected model, to forecast. However, one typically reports the properties of the (conditional) forecast, ignoring the fact that its properties are affected by the model selection (pretesting). This is wrong, and in this paper we show that the error can be substantial. We obtain explicit expressions for this error. To illustrate the theory we consider a regression approach to stock market forecasting, and show that the standard predictions ignoring pretesting are much less robust than naive econometrics might suggest. We also propose a forecast procedure based on the ‘neutral Laplace estimator’, which leads to an improvement over standard model selection procedures. Copyright © 2004 John Wiley & Sons, Ltd.     

Estimation and testing of time-varying coefficient regression models in the presence of linear restrictions

A linear regression model with random walk coefficients is extended to allow for linear restrictions between the coefficients to be satisfied at each point in time. Estimation in this model is shown to be no more involved than estimation in the standard model. It is also demonstrated how, after a slight modification to the testing problem, classical test procedures may be applied to the problem of testing for such restrictions. The performance of the Lagrange Multiplier test for a variety of different restrictions is then investigated via simulation. An empirical application involving testing for homogeneity in a random walk coefficient version of the AIDS model is given.     

A ground‐level ozone forecasting model for Santiago,Chile

A physically based model for ground‐level ozone forecasting is evaluated for Santiago, Chile. The model predicts the daily peak ozone concentration, with the daily rise of air temperature as input variable; weekends and rainy days appear as interventions. This model was used to analyse historical data, using the Linear Transfer Function/Finite Impulse Response (LTF/FIR) formalism; the Simultaneous Transfer Function (STF) method was used to analyse several monitoring stations together. Model evaluation showed a good forecasting performance across stations—for low and high ozone impacts—with power of detection (POD) values between 70 and 100%, Heidke's Skill Scores between 40% and 70% and low false alarm rates (FAR). The model consistently outperforms a pure persistence forecast. Model performance was not sensitive to different implementation options. The model performance degrades for two‐ and three‐days ahead forecast, but is still acceptable for the purpose of developing an environmental warning system at Santiago. Copyright © 2002 John Wiley & Sons, Ltd.