经济发展、资源功能与中国的配置绩效

经济发展理论高度重视各种资源等劳动对象的开发利用。西方经济学的信仰者由于自身存在的认识论缺陷，难以科学认识劳动对象与经济发展的内在关系，进而也难以科学论述资源在发展理论及其模型中的作用和地位。因此，必须遵循马克思的方法论，从理论为实际的反映入手，建立科学的分析模型，以此指导中国经济发展方式的转变，建立生态与经济相协调的可持续发展的资源及能源支撑体系，调整、优化资源及能源的供给与需求结构。     

利用WALL构建双主教学模式深化大学英语教学改革

作为大学英语改革的主要内容，WALL（网络辅助语言学习）为大学英语改革带来了勃勃生机。本文分析了借助WALL构建大学英语双主模式，即教师主导，学生为认知主体的教学模式的实践意义。并根据相关理论分析了新型模式下教师和学生各自的作用和角色，对如何构建双主模式深化大学英语教学改革提出了一些设想。     

A modification of Honoré's triple-link model in the synoptic problem

Summary.  In New Testament studies, the synoptic problem is concerned with the relationships between the gospels of Matthew, Mark and Luke. In an earlier paper a careful specification in probabilistic terms was set up of Honoré's triple-link model. In the present paper, a modification of Honoré's model is proposed. As previously, counts of the numbers of verbal agreements between the gospels are examined to investigate which of the possible triple-link models appears to give the best fit to the data, but now using the modified version of the model and additional sets of data.     

Goodness‐of‐fit methods for matched case‐control studies

The authors propose graphical and numerical methods for checking the adequacy of the logistic regression model for matched case‐control data. Their approach is based on the cumulative sum of residuals over the covariate or linear predictor. Under the assumed model, the cumulative residual process converges weakly to a centered Gaussian limit whose distribution can be approximated via computer simulation. The observed cumulative residual pattern can then be compared both visually and analytically to a certain number of simulated realizations of the approximate limiting process under the null hypothesis. The proposed techniques allow one to check the functional form of each covariate, the logistic link function as well as the overall model adequacy. The authors assess the performance of the proposed methods through simulation studies and illustrate them using data from a cardiovascular study.     

Markov Properties for Acyclic Directed Mixed Graphs

We consider acyclic directed mixed graphs, in which directed edges ( x → y ) and bi-directed edges ( x ↔ y ) may occur. A simple extension of Pearl's d -separation criterion, called m -separation, is applied to these graphs. We introduce a local Markov property which is equivalent to the global property resulting from the m -separation criterion for arbitrary distributions.     

科学与人文整合的一种模式

遵循整体观和相对性理念，在“认知思维模式”基础上，提出了一种无学科界面、自然融合型的科学与人文整合模式，从根本上解决了科学与人文长期以来的分割与对立的局面。并依据该模式提出了“‘组织结构’决定‘性能＇”法则、“更大层次系统对系统制约的第一性”的“伦理”法则、“子系统之间和谐共存”法则等思想将引导人类走上“天人合一”的和谐永续的文明道路。     

莫泊桑短篇小说中的第一人称叙述

莫泊桑的短篇小说堪称一绝,在叙事上独具特色。与其他现实主义作家不同,莫泊桑喜欢采用第一人称叙述,他笔下的叙述者"我"并非都是全知全能,大部分叙述者权利有限。更为独特的是,他在这类作品中首创的叙述分层的手法,使得人物成一种对话关系。他对叙述者权利的限制使得作品意义留有空白。叙述语调的中立要求读者积极参与作品意义的建构,这极大增强了短篇小说的可读性,也使他的作品带有现代主义的气息。     

Almost Consistent Estimation of Panel Probit Models with “Small” Fixed Effects

We propose four different GMM estimators that allow almost consistent estimation of the structural parameters of panel probit models with fixed effects for the case of small Tand large N. The moments used are derived for each period from a first order approximation of the mean of the dependent variable conditional on explanatory variables and on the fixed effect. The estimators differ w.r.t. the choice of instruments and whether they use trimming to reduce the bias or not. In a Monte Carlo study, we compare these estimators with pooled probit and conditional logit estimators for different data generating processes. The results show that the proposed estimators outperform these competitors in several situations.     

Block external bootstrap in partially linear models with nonstationary strong mixing error terms

The authors extend the block external bootstrap to partially linear regression models with strongly mixing, nonstationary error terms. In addition to providing an approximate distribution for the semiparametric least square estimator of the parametric component, they propose a consistent estimator of the co‐variance matrix of this estimator.     

A Non-parametric Frailty Model for Temporally Clustered Multivariate Failure Times

Abstract A model is introduced here for multivariate failure time data arising from heterogenous populations. In particular, we consider a situation in which the failure times of individual subjects are often temporally clustered, so that many failures occur during a relatively short age interval. The clustering is modelled by assuming that the subjects can be divided into ‘internally homogenous’ latent classes, each such class being then described by a time‐dependent frailty profile function. As an example, we reanalysed the dental caries data presented earlier in Härkänen et al. [Scand. J. Statist. 27 (2000) 577], as it turned out that our earlier model could not adequately describe the observed clustering.