Dealing with the Initial Observation in the LM Unit Root Test

This article proposes a linearly weighted unit root test with a new weighting scheme which reflects the trade-off in power between the ADF and LM tests regarding the initial value of a time series. Simulation results indicate that the proposed test has better power performance and works better than other available tests in the literature for a range of initial conditions.     

Bayesian variable selection approach to a Bernstein polynomial regression model with stochastic constraints

This paper provides a Bayesian estimation procedure for monotone regression models incorporating the monotone trend constraint subject to uncertainty. For monotone regression modeling with stochastic restrictions, we propose a Bayesian Bernstein polynomial regression model using two-stage hierarchical prior distributions based on a family of rectangle-screened multivariate Gaussian distributions extended from the work of Gurtis and Ghosh [7 S.M. Curtis and S.K. Ghosh, A variable selection approach to monotonic regression with Bernstein polynomials, J. Appl. Stat. 38 (2011), pp. 961–976. doi: 10.1080/02664761003692423[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]]. This approach reflects the uncertainty about the prior constraint, and thus proposes a regression model subject to monotone restriction with uncertainty. Based on the proposed model, we derive the posterior distributions for unknown parameters and present numerical schemes to generate posterior samples. We show the empirical performance of the proposed model based on synthetic data and real data applications and compare the performance to the Bernstein polynomial regression model of Curtis and Ghosh [7 S.M. Curtis and S.K. Ghosh, A variable selection approach to monotonic regression with Bernstein polynomials, J. Appl. Stat. 38 (2011), pp. 961–976. doi: 10.1080/02664761003692423[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]] for the shape restriction with certainty. We illustrate the effectiveness of our proposed method that incorporates the uncertainty of the monotone trend and automatically adapts the regression function to the monotonicity, through empirical analysis with synthetic data and real data applications.     

英语口语教学中的多元化评价

教学与评价是现代教育中的两个重要方面.随着语言评价研究的发展,对语言能力的评价逐渐从单一维度的测试转向各种评价工具和评价方式的多元化评价.本文在总结多元化评价的基本理念的基础上,分析了多元化评价在口语能力评价中的作用,结合口语课堂教学,提出多元化评价在口语教学中的具体实施方法.     

交汇契合与并行发展——探寻高等师范教育改革与基础教育改革的共同之路

基础教育与高等师范教育是人才成长的摇篮,而且是教育的两个不同等级的环节.基础教育对中小学生基本素质的形成与知识能力的培养起着不可替代的作用,基础教育质量的提高取决于中小学教师质量的提高;高等师范教育及高等师范院校是学生素质提升与能力提高的关键时期,高等师范教育的目标是为基础教育服务,双方的合作与交流是成功培养人才的需求和必由之路.     

论宪法中的权界式公民义务规范

以义务性规范的形式对宪法权利作出的限制规定,就是宪法中的权界式公民义务规范,它有概括限制型和具体限制型两种类型。宪法权利的法律保留限制式规定,不应视为公民义务规范。权界式义务规范在创设目的、出现位置、表述转换等方面与明示式义务规范有着重大区别。权界式义务规范附属于公民宪法权利规范本身,它可以转换成非义务性的表述,其实质是表示权利应当有所约束。关于宪法权利之限制规定能否被视为公民义务规范的争议,可通过形式与实质的双重视角予以化解。     

Inference on a progressive type I interval-censored truncated normal distribution

In this paper, we consider the problem of making statistical inference for a truncated normal distribution under progressive type I interval censoring. We obtain maximum likelihood estimators of unknown parameters using the expectation-maximization algorithm and in sequel, we also compute corresponding midpoint estimates of parameters. Estimation based on the probability plot method is also considered. Asymptotic confidence intervals of unknown parameters are constructed based on the observed Fisher information matrix. We obtain Bayes estimators of parameters with respect to informative and non-informative prior distributions under squared error and linex loss functions. We compute these estimates using the importance sampling procedure. The highest posterior density intervals of unknown parameters are constructed as well. We present a Monte Carlo simulation study to compare the performance of proposed point and interval estimators. Analysis of a real data set is also performed for illustration purposes. Finally, inspection times and optimal censoring plans based on the expected Fisher information matrix are discussed.     

"科技-生产"范式的内涵及其历史演进

"科学、技术、生产"所组成的紧密联系的整体构成了"科技-生产"系统,这一系统的内在结构关系表现为某种模式、模型,它是科学、技术、生产三者相互作用关系的集中体现.我们将这一模式、模型称为"科技-生产"范式.思维模式规定性、技术规定性、制度规定性、结构功能规定性是"科技-生产"范式的四种基本属性.人类历史迄今,"科技-生产"范式经历了一系列转换,包括"实体-能量-信息"三重思维模式转换、从"革命-延续"到"创新-集成"的技术转换、"强制有序-协同自序"制度体系的转化以及"工业社会-知识社会"的结构功能转换等.积极促进我国"科技-生产"范式的转换,建立新型的"科技-生产"范式对于新型工业化社会的构建具有重要意义.     

试论高师本科教学工作合格评估指标的合理性

本文通过对1996年原国家教委《高等师范学校本科教学工作评估方案（试行）》和1999年教育部《高等师范学校本科教学工作合格评估方案（试行》的比较研究,充分肯定了新评估方案的科学性和合理性,并结合评估操作实际,提出了评估方案中一些值得深入探讨的问题。     

新形势下高师生就业教育探索

本文针对新形势下高师生就业的实际情况 ,分析了高师生就业思想的特点和原因以及当前高师生就业教育现状 ,认为高师生就业教育应成为学生素质教育的一个新课题 ,也是现代人才培养系统工程的组成部分。     

On optimal testing for the equality of equicorrelation: An example of loss in power

Sen Gupta (1988) considered a locally most powerful (LMP) test for testing nonzero values of the equicorrelation coefficient of a standard symmetric multivariate normal distribution. This paper constructs analogous tests for the symmetric multivariate normal distribution. It shows that the new test is uniformly most powerful invariant even in the presence of a nuisance parameter, σ². Further applications of LMP invariant tests to several equicorrelated populations have been considered and an extension to panel data modeling has been suggested.