统计学课程教学改革的思考

传统的统计学教学侧重的是理论知识的介绍,注重的是学生解题能力,而忽视学生分析问题、解决问题能力的培养。对传统的统计学教学改革应该强调案例教学、实践性教学,积极运用多媒体辅助教学手段,使学生真正成为社会所需的应用型人才。     

CPV边界积分的对称数值求积法

1　Ｉｎｔｒｏｄｕｃｔｉｏｎ　Ｔｈｅｂｏｕｎｄａｒｙｉｎｔｅｇｒａｌｅｑｕａｔｉｏｎｓａｒｉｓｅｉｎｍａｎｙｐｒｏｂｌｅｍｓｏｆｐｈｙｓｉｃｓａｎｄｅｎｇｉｎｅｅｒｉｎｇ .Ｏｎｅｏｆｔｈｅｐｒｉ ｍａｒｙｍａｔｈｅｍａｔｉｃａｌａｎｄｎｕｍｅｒｉｃａｌｄｉｆｆｉｃｕｌｔｉｅｓｏｆｂｏｕｎｄａｒｙｉｎｔｅｇｒａｌｅｑｕａｔｉｏｎａｐｐｅａｒｓｔｏｂｅｔｈｅｔｒｅａｔ ｍｅｎｔｏｆｔｈｅｓｉｎｇｕｌａｒｋｅｒｎｅｌｓ.Ｔｈｅｒｅａｒｅｔｈｒｅｅｄｉｆｆｅｒ ｅｎｔｔｙｐｅｓｏｆｓｉｎｇｕｌａｒｉｔｉｅｓ…     

网络课程在概率论与数理统计教学中的应用

通过网络课程的答疑系统、作业批改系统、学生自测系统等,将《概率论与数理统计》的课堂教学与网络课程教学有机地结合在一起。教学实践表明:网络课程在《概率论与数理统计》教学中的应用提高了该课程的教学质量,促进了教学的整体改革,优化了教学过程。     

相依样本下参数的经验欧氏似然比统计量

在强平稳的相依样本下讨论半参数模型参数的经验欧氏似然比统计量．     

Flow Field of Circulating Fluidized Bed Reactor with Venturi Inlet Configuration

Different two-equation k-ε models were used to simulate the gas flow field generated by a new type of circulating fluidized bed reactor with venturi gas distributor. The numerical results were compared with the experimental data. It has been shown that the simulation results from the standard k-ε model have the best match with the experimental data. Based on this model, the gas flow field in the venturi diffuser and riser was analyzed by the concept of velocity nonuniformity and dead zone percentage. Both the nonuniformity of gas velocity and the dead zone percentage reach the maximum at the venturi outlet due to the effect of the vortex. At the same time, it provides a good platform for the further optimization of the inlet configuration of circulating fluidized bed reactor.     

基于PMAC的数控实验系统

介绍了PMAC运动控制器的基本特征，以及利用PMAC运动控制器所构成的数控系统，提高数控实验教学的作用，从而更好地了解机电一体化系统。     

数控系统中的干扰抑制

介绍了数控系统中的干扰抑制。从电网干扰抑制、数字信号线干扰抑制、模拟信号干扰抑制方面,对感性负载加吸收电路来抑制瞬态噪声作了详细说明,可避免干扰造成的数控系统的“软”故障。     

旅游者人数变动的统计预测分析

旅游业是一个波动性较强的产业，由于受旅游市场多种因素的影响，往往导致旅游目的地和旅游景点旅游人数经常发生变动，因此对旅游人数进行统计、分析和预测有助于调节旅游市场的供求平衡，合理安排和开发旅游景点，做好旅游接待工作。本通过使用一些统计预测模型及相应的预测方法，对旅游的人数变动、流向变动和季节变动进行了一定的统计、分析和预测，对旅游业实践具有一定的指导意义。     

概率实验

概率 ,在科学实验、生产实践及日常生活中有着广泛、直接的应用。因此 ,在教学过程中 ,并非一味简单地讲述书本知识。而适时、恰当地设计、引导学生主动参与课堂、课下的概率实验 ,以实验结果来论述问题 ,体现以学生为主 ,以应用为本的教学理念。使抽象的数学教学进行得生动活泼 ,取得了让学生终身难忘的教学效果     

Does prior mathematics knowledge really lead to variation in elementary statistics performance? Evidence from a developing country

A model incorporating prerequisite mathematics performance and other variables deemed to be associated with learning elementary statistics (ES) is developed. The relationship between ES performance and the explanatory variables is well represented by the logistics form. Aptitude, effort and motivation are the only significant explanatory variables of ES performance. Since prerequisite mathematics is not significant, statistical thinking at the tertiary level may be mostly intuitive and non-mathematical. Students with low aptitude experience increasing returns to effort over the first half of the feasible effort interval, while high-aptitude students experience diminishing returns at all levels of effort. The levels of effort required to achieve a minimum pass are interpreted.