生成性思维视域中的基础教育教学范式转型

思维方式的变革是教学改革的必然要求.传统教育的许多弊病是与本质主义思维方式相联系的.以生成性思维的基本精神观照教学生活,从而进行课堂教学的范式转型是学校文化重建的重要体现.其主要方面是:由既定的外在目标到内在的生成性目标;由高控制的流程到建构生成的过程;由空洞的内容传递到回归儿童的生活世界;由以目标为中心的标准式评价到走向理解的生成性评价.为此教师应具有新的角色定位和教学意识.     

高校学报走向商品之途是出版规律的必然选择

高校学报因其发行量小、投入产出严重不对等使人对其商品属性产生种种看法.非商品说、特殊商品说和商品说反映了研究者对学报在不同发展阶段的商品属性的认识转变.用发展的前瞻的眼光来看,随着我国高等学校自主办学体制改革和出版业改革进程的加快,学报办刊体制必定会发生重大变化,学报会在这种变化中实现其本应实现的双效益,并逐渐凸现出其商品属性,这是符合出版规律的必然选择.违背出版规律所造成的学报非商品、学报是特殊商品这种假象必定会随着学报办刊体制的改革而复原其商品属性的真面目.     

武汉市固定资产投资与经济增长关系的实证分析

固定资产投资是经济增长的一个重要因素,对经济增长具有直接的拉动作用,同时对投资的调节也成为国家宏观调控的一个重要手段。以武汉市为例,选取了年固定资产投资与国内生产总值的数据进行协整分析,并建立了误差修正模型,得出了二者之间存在长期均衡关系。     

大学生优秀典型作用研究

抓好用好典型，通过典型示范和引领激励，以点带面推动全局工作，历来是我党的优良传统，也是一门重要的领导艺术和行之有效的工作方法。针对新时期大学生思想道德变化的特点，研究在大学生中树立并大力宣传优秀典型，明确树立大学生优秀典型的意义和作用，探索树立大学生先进典型的具体方法，对于准确地把握大学生思想政治工作面临的新形势，构建新格局，提高高校学生思想政治工作的针对性、实效性和科学性具有十分重要的作用和意义。     

Generalized empirical likelihood inference in partial linear regression model for longitudinal data

In this paper, empirical likelihood inference for longitudinal data within the framework of partial linear regression models are investigated. The proposed procedures take into consideration the correlation within groups without involving direct estimation of nuisance parameters in the correlation matrix. The empirical likelihood method is used to estimate the regression coefficients and the baseline function, and to construct confidence intervals. A nonparametric version of Wilk's theorem for the limiting distribution of the empirical likelihood ratio is derived. Compared with methods based on normal approximations, the empirical likelihood does not require consistent estimators for the asymptotic variance and bias. The finite sample behaviour of the proposed method is evaluated with simulation and illustrated with an AIDS clinical trial data set.     

A Bayesian analysis of a change in the parameters of autoregressive time series

In this article, we consider a Bayesian analysis of a possible change in the parameters of autoregressive time series of known order p, AR(p). An unconditional Bayesian test based on highest posterior density (HPD) credible sets is determined. The test is useful to detect a change in any one of the parameters separately. Using the Gibbs sampler algorithm, we approximate the posterior densities of the change point and other parameters to calculate the p-values that define our test.     

中国海洋经济综合发展水平的统计测度

从基础发展、产业结构、科教发展和可持续四个方面对2001-2012年中国海洋经济的综合发展水平进行了统计测度,结果发现:地区海洋经济综合发展水平可分为三个层次,不同层次的作用因素不尽相同;广东、上海和山东三个地区的海洋经济综合发展水平在样本期间内交替领先,同时不同地区的发展速度和发展水平变化各有特点;东部区域现阶段可持续发展水平较低,而南部区域主要依靠产业结构升级拉动海洋经济。最后,提出了相应的政策建议。     

Classical testing in functional linear models

We extend four tests common in classical regression – Wald, score, likelihood ratio and F tests – to functional linear regression, for testing the null hypothesis, that there is no association between a scalar response and a functional covariate. Using functional principal component analysis, we re-express the functional linear model as a standard linear model, where the effect of the functional covariate can be approximated by a finite linear combination of the functional principal component scores. In this setting, we consider application of the four traditional tests. The proposed testing procedures are investigated theoretically for densely observed functional covariates when the number of principal components diverges. Using the theoretical distribution of the tests under the alternative hypothesis, we develop a procedure for sample size calculation in the context of functional linear regression. The four tests are further compared numerically for both densely and sparsely observed noisy functional data in simulation experiments and using two real data applications.     

海洋钻井隔水管顶张力分析

隔水管系统足海洋钻井的主要设备之-本丈对描述隔水管运动的四阶非线性偏徽分方程和边界条件进行了简化，并应用有限差分法对隔水管的受力情况进行数值分析.作用在隔水管上的顶张力，使用四种海况进行研究，并编制了相应的计算程序.通过实例计葬，与美国应力工程服务奋司的计葬结果进行比较，结果完全-致.末文提供的动态分析方法及计葬程序具有方法简便、精确度高和机时省千优点，对设计和校核隔水管系统具有实用价值.     

Asymptotic distribution of regression correlation coefficient for Poisson regression model

This study treats an asymptotic distribution for measures of predictive power for generalized linear models (GLMs). We focus on the regression correlation coefficient (RCC) that is one of the measures of predictive power. The RCC, proposed by Zheng and Agresti is a population value and a generalization of the population value for the coefficient of determination. Therefore, the RCC is easy to interpret and familiar. Recently, Takahashi and Kurosawa provided an explicit form of the RCC and proposed a new RCC estimator for a Poisson regression model. They also showed the validity of the new estimator compared with other estimators. This study discusses the new statistical properties of the RCC for the Poisson regression model. Furthermore, we show an asymptotic normality of the RCC estimator.