ERP系统的评价方法

ERP－Enterprise Resource Planning即企业资源计划系统，是运用信息技术，包含成功的管理思想和管理方法的软件系统，可以帮助企业实现规范化，合理化管理，正逐渐成为现代企业的运行模式。面对加入WTO，引入ERP管理系统成为中国企业提高管理水平的大势所趋。而ERP的导入会给企业带来巨大的变化，所以，对于一个即将导入或正在导入ERP的企业，如何选择适合自身的ERP系统是一个首要的问题。本文综合分析了ERP系统的定量评价方法，它可以帮助企业结合自身特点对ERP系统进行评价，为ERP系统选择提供依据。     

文化渗透法在日语教学中的应用

笔者对文化渗透方法的涵义进行了论述,而且将文化渗透法用于日语教学之中,通过在教学实践中的研究和探索,提出了在日语教学中应采用文化渗透法的具体实施步骤,既课堂教学分步实施及课外活动实施口语交流实践。     

Missing data and forecasting in multivariate time series: An application of the common components dynamic linear model

Summary The paper deals with missing data and forecasting problems in multivariate time series making use of the Common Components Dynamic Linear Model (DLMCC), presented in Quintana (1985), and West and Harrison (1989). Some results are presented and discussed: exploiting the correlation between series, estimated by the DLMCC, the paper shows as it is possible to update state vector posterior distributions for the unobserved series. This is realized on the base of the updating of the observed series state vectors, for which the usual Kalman filter equations can be applied. An application concerning some Italian private consumption series provides an example of the model capabilities.     

组合预测误差信息矩阵研究

研究组合预测误差信息矩阵的结构与组合预测方法性质之间的联系,首次提出冗余信息概念,对最优组合预测方法的组合结构进行了研究。     

递推法求一元n次实系数多项式函数的完全等价n次Bezier参数曲线

用递推方法论证了至少存在一条n次Bezier参数曲线与一元n次实数多项式函数完全等价。同时给出了将一元n次实纱多项式转换为完全等价的n次Bezier参数曲线的方法。     

双语教学的研究和实践

文章以计算机网络等课程的双语教学实践为例 ,论述了双语教学课程与教材的挑选、授课方式与方法、考核方法等 ,并总结了双语教学的成效及有待克服的问题和困难     

A Comparison of Partially Adaptive and Reweighted Least Squares Estimation

The small sample performance of least median of squares, reweighted least squares, least squares, least absolute deviations, and three partially adaptive estimators are compared using Monte Carlo simulations. Two data problems are addressed in the paper: (1) data generated from non-normal error distributions and (2) contaminated data. Breakdown plots are used to investigate the sensitivity of partially adaptive estimators to data contamination relative to RLS. One partially adaptive estimator performs especially well when the errors are skewed, while another partially adaptive estimator and RLS perform particularly well when the errors are extremely leptokur-totic. In comparison with RLS, partially adaptive estimators are only moderately effective in resisting data contamination; however, they outperform least squares and least absolute deviation estimators.     

一阶非线性中立型方程解的渐近性与振动性

本文研究一类具有交系数和多偏差的一阶非线性中立型微分方程解的渐近性与振动性     

改进复习课教学的一次尝试

本文给出了一个上复习课的新方法，利用变上限定积分函数的性质，系统地复习一元函数的有关知识，可使很多问题得到很容易地解决和统一。     

Sampling Strategies for Toxic Air Contaminants

Annual concentrations of toxic air contaminants are of primary concern from the perspective of chronic human exposure assessment and risk analysis. Despite recent advances in air quality monitoring technology, resource and technical constraints often impose limitations on the availability of a sufficient number of ambient concentration measurements for performing environmental risk analysis. Therefore, sample size limitations, representativeness of data, and uncertainties in the estimated annual mean concentration must be examined before performing quantitative risk analysis. In this paper, we discuss several factors that need to be considered in designing field-sampling programs for toxic air contaminants and in verifying compliance with environmental regulations. Specifically, we examine the behavior of SO2, TSP, and CO data as surrogates for toxic air contaminants and as examples of point source, area source, and line source-dominated pollutants, respectively, from the standpoint of sampling design. We demonstrate the use of bootstrap resampling method and normal theory in estimating the annual mean concentration and its 95% confidence bounds from limited sampling data, and illustrate the application of operating characteristic (OC) curves to determine optimum sample size and other sampling strategies. We also outline a statistical procedure, based on a one-sided t-test, that utilizes the sampled concentration data for evaluating whether a sampling site is compliance with relevant ambient guideline concentrations for toxic air contaminants.