可理解性输入与输出理论对大学英语听力教学的启示

基于克拉申(Krashen,1989)输入假设理论(Input hypothesis theory)和Swain(1985)可理解性输出理论进行分析和研究。结合笔者教学经历,建构了新的听力教学模式,并就如何促进大学英语听力教学提出建议。     

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.     

Forecasting trend output in the Euro area

This paper is an applied study about forecasting trend output and the output gap in the Euro area. The need for trend output forecasts is justified by an analysis of the monetary strategy of the European Central Bank. Trend output serves as a direct inflation indicator and helps to determine the reference value for money. For both purposes, trend output has to be forecasted. A permanent–transitory decomposition based on cointegration restrictions gives an estimate of trend output in the Euro area. Ex‐ante point forecasts of trend output are computed and bootstrap simulation is employed to construct prediction intervals that take estimation uncertainty into consideration. The uncertainty of trend output and the output gap is quite large and raises questions about their usefulness as indicators for monetary policy. Copyright © 2002 John Wiley & Sons, Ltd.     

中长跑的选材与预测

本文从系统学角度,探讨如何控制中长跑选材的过程,并从生理、心理、身体素质以及身体形态等方面探讨如何以科学的选材方法和手段为依据,指导教练选出优秀人材,进行早期培养,缩短其成材周期,提高成材率。     

离散型输入输出数学模型应用的研究

本文讨论离散型输入输出数学模型的建立及在定期存款问题,溶液的混合、树群株数的增长和经济方面的应用。     

山东省人口发展趋势的定量分析

根据山东省第四次人口普查资料,采用人口发展动态模型,对山东人口发展过程进行了优化分析研究,针对山东省人口发展过程中存在的问题,进一步探讨了解决的有效途径。     

多变量随机系统的辨识软件IDMR

软件IDMR是用于辨识离散时间多变量随机系统的有效工具,它同时还使用辨识结果给出系统输出仿真。本文介绍IDMR的结构和功能及其特点,并对使用方法和运行操作进行了说明。     

Forecasting recessions using the yield curve

We compare forecasts of recessions using four different specifications of the probit model: a time invariant conditionally independent version; a business cycle specific conditionally independent model; a time invariant probit with autocorrelated errors; and a business cycle specific probit with autocorrelated errors. The more sophisticated versions of the model take into account some of the potential underlying causes of the documented predictive instability of the yield curve. We find strong evidence in favour of the more sophisticated specification, which allows for multiple breakpoints across business cycles and autocorrelation. We also develop a new approach to the construction of real time forecasting of recession probabilities. Copyright © 2005 John Wiley & Sons, Ltd.     

我国工业重大灾害的Delphi预测方法及其应用──重大危险源辨识的德尔菲（Delphi）专家系统设计

文章针对我国工业企业重大灾害频繁发生的现实，运用Ｄｅｌｐｈｉ方法对人－机－环境系统中大量无法定量的危险源作出概率估算和危险度分级，为建立重大危险源辨识的定量与定性分析相结合的专家系统等做一些初步探讨。     

马尔柯夫链状预测的概率计算及拓广

提出了一种马尔柯夫链状预测中的概率计算新方法：状态划分矩阵法;具有模糊状态的马尔柯夫链的概率计算公式,并用实例计算作了说明。