语言测试研究的新视角：批判语言测试

长期以来，语言测试工作者研究的核心是如何提高测试的信度与效度，以客观、精确地测量考生的语言能力。语言测试尤其是大规模高风险语言测试带来的社会影响，很难由改良测试本身来解决。批判语言测试 (Critical Language Testing) 的提出把语言测试置于更广阔的社会政治语境中，对测试后效 (consequences) 的反思不再局限于反拨效应 (washback)，而是重新审视测试中渗透的权力与控制，测试所具有的社会价值、政治功能等。     

Non-linear models 1

This is the first application of a new method for testing stationary random point processes. Consider the class of all stationary ergodic point processes on the real line with arbitrary dependences among the inter–point distances (spacing).The hypothesis is :The observed process φ is a homogeneous Poisson process or more (resp.less) regular than a Poisson process.The sample is the vector of the first n points t₁, …,t_n.There is a close relation between our method for testing and queueing theory: For finding an appropriate test statistic, we observe the behaviour of a single server queue with the input φ.A table of critical values is given.     

上海汽车产业绿色升级研究

伴随着我国汽车产业的迅猛发展,绿色环保汽车的设计与生产、废旧汽车的绿色回收等问题成为研究的热点,汽车产业链的绿色升级势在必行。汽车产业链包括汽车生产的产业链,也包括汽车消费及后消费的产业链。产业链的不同环节间存在着输入端资源减量和输出端污染减量的相互作用,必须通过上下游的协同运作来提升产业链的整体环境绩效。将创新型商业模式的产品服务系统与作为环境保护策略的生产者责任延伸制整合起来,研究两者耦合可为汽车产业绿色升级带来新思路和新方法。     

Out-of-Sample Forecast Tests Robust to the Choice of Window Size

This article proposes new methodologies for evaluating economic models’ out-of-sample forecasting performance that are robust to the choice of the estimation window size. The methodologies involve evaluating the predictive ability of forecasting models over a wide range of window sizes. The study shows that the tests proposed in the literature may lack the power to detect predictive ability and might be subject to data snooping across different window sizes if used repeatedly. An empirical application shows the usefulness of the methodologies for evaluating exchange rate models’ forecasting ability.     

步进电机的定位及速度控制软件设计

结合步进电机在数控系统中的应用，介绍８０３１ 单片机控制步进电机的方法及实现步进电机的精确定位、换向和速度控制的软件设计。     

Bayesian goodness-of-fit test for censored data

We propose a Bayesian computation and inference method for the Pearson-type chi-squared goodness-of-fit test with right-censored survival data. Our test statistic is derived from the classical Pearson chi-squared test using the differences between the observed and expected counts in the partitioned bins. In the Bayesian paradigm, we generate posterior samples of the model parameter using the Markov chain Monte Carlo procedure. By replacing the maximum likelihood estimator in the quadratic form with a random observation from the posterior distribution of the model parameter, we can easily construct a chi-squared test statistic. The degrees of freedom of the test equal the number of bins and thus is independent of the dimensionality of the underlying parameter vector. The test statistic recovers the conventional Pearson-type chi-squared structure. Moreover, the proposed algorithm circumvents the burden of evaluating the Fisher information matrix, its inverse and the rank of the variance–covariance matrix. We examine the proposed model diagnostic method using simulation studies and illustrate it with a real data set from a prostate cancer study.     

Bad Probability,Good Statistics,and Group Testing for Binomial Estimation

This article examines some improperly stated but often used textbook probability problems. Moving from a probabilistic to a statistical setting provides insight into group testing (i.e., observing only whether one or more of a group responds and not the response of each individual). Exact methods are used to construct tables showing (i) that group testing n times to estimate p can be more efficient than n individual tests even for small n and large p, (ii) optimal grouping strategies for various (n, p) combinations, and (iii) the efficiencies and biases achieved.     

运用强化手段进行正面上手发球技术教学的实验研究

对高师体育系排球普修课正面上手发球技术教学进行了实验与研究 .     

基于B/S的机房动力和环境监控模拟实验系统

探讨基于B/S结构的网络化模拟实验室的构建,并以机房动力和环境监控系统为实验对象,用网际组态软件W ebAccess实现集数据采集、视频监控、安防消防等综合模拟实验平台的开发。     

Local information and the design of sequential hypothesis tests

Various results on sequential hypotheses testing are reviewed. Optimal stopping rules are related to a local measure of statistical information. In some cases, local information can be approximated by L-numbers discovered by Lorden, and simple rules based on these approximations are asymptotically optimal to better order than the cost for a single observation.