基于读者满意度调查的图书馆电子阅览室信息服务质量评价与分析——以广州中医药大学第二临床医学院图书馆为例

通过对电子阅览室读者满意度的问卷调查和对调查数据的分析,对电子阅览室服务质量进行了综合评价,旨在进一步完善电子阅览室的各项工作,从而提升读者对图书馆的满意度.     

河道电磁波三角高程测量中大气折光系数的变化与分析

通过对滹沱河河道电磁波三角高程测量中K值(大气折光系数)变化的分析，总结出该地区K值的变化规律，并提出三角高程测量中应注意的问题。     

浅议临猗县枣业发展的现状与出路

文章论述了临猗县枣业发展的历程，通过总结经验、探寻原因和市场调查各方面的分析，认为枣业的发展大有前途。     

浅析地籍测量及成图方法

对目前我国地籍测量试点区测图方法进行了有代表性的具体归纳,并对其成图精度进行了比较,在此基础上分析了各种成图方法之优劣及各自适用范围,以便各种测量方法在成图过程中发挥最佳效益。     

工业环境污染统计的一种抽样方法

针对工业环境污染统计中存在的问题，设计了抽样方法，计算机仿真表明此方法是有效的。     

Accurate forecasting of the undecided population in a public opinion poll

The problem of pollsters is addressed which is to forecast accurately the final answers of the undecided respondents to the primary question in a public opinion poll. The task is viewed as a pattern‐recognition problem of correlating the answers of the respondents to the peripheral questions in the survey with their primary answers. The underlying pattern is determined with a supervised artificial neural network that is trained using the peripheral answers of the decided respondents whose primary answers are also known. With peripheral answers as inputs, the trained network outputs the most probable primary response of an undecided respondent. For a poll conducted to determine the approval rating of the (former) Philippine president, J. E. Estrada in December 1999 and March 2000, the trained network predicted with a 95% success rate the direct responses of a test population that consists of 24.57% of the decided population who were excluded in the network training set. For the undecided population (22.67% of December respondents; 23.67% of March respondents), the network predicted a final response distribution that is consistent with the approval/disapproval ratio of the decided population. Copyright © 2002 John Wiley & Sons, Ltd.     

LAMOST观测星表覆盖算法模型

介绍了几种针对LAMOST巡天战略的覆盖算法，在理论上分析这些算法的优劣，并通过模拟的手段证明了分析的结果是正确的。     

Forecasting volatility by means of threshold models

The aim of this paper is to compare the forecasting performance of competing threshold models, in order to capture the asymmetric effect in the volatility. We focus on examining the relative out‐of‐sample forecasting ability of the SETAR‐Threshold GARCH (SETAR‐TGARCH) and the SETAR‐Threshold Stochastic Volatility (SETAR‐THSV) models compared to the GARCH model and Stochastic Volatility (SV) model. However, the main problem in evaluating the predictive ability of volatility models is that the ‘true’ underlying volatility process is not observable and thus a proxy must be defined for the unobservable volatility. For the class of nonlinear state space models (SETAR‐THSV and SV), a modified version of the SIR algorithm has been used to estimate the unknown parameters. The forecasting performance of competing models has been compared for two return time series: IBEX 35 and S&P 500. We explore whether the increase in the complexity of the model implies that its forecasting ability improves. Copyright © 2007 John Wiley & Sons, Ltd.     

科学设置日语课程,提高教学效果——对应届毕业生日语教学调查分析

前不久,笔者对我院即将毕业的第一届科技日语专业学生进行了一次问卷调查,旨在掌握、了解首届学生的学习状况,提高教学质量和效果,满足社会和学生的需求。该文针对教学存在的问题进行了分析研究,并提出了改进措施。     

数学期望模型应用实例

混合样本检验法是预防医学中常用的方法，通过建立数学期望模型，可以在定量分析中减少检测次数，达到减少工作量，提高工作效率的目的。