我国房地产市场财富效应的实证分析

本文应用格兰杰因果关系检验和协整分析方法,对我国房地产市场的财富效应作了实证分析。实证结果表明,我国房地产市场不具有财富效应而仅具有替代效应。     

基于VB的计算机考试系统的设计与实现

介绍了网络环境下的基于Visual Basic计算机考试系统的基本组成和功能结构,同时,就题库的建立和管理、随机成卷系统和评分系统等研制的难点进行了分析,并针对其中的关键技术,提出相应的解决方法。     

外语教学法研究的历史及其当前意义

外语教学有着悠久的历史 ,在漫长的过程中 ,外语教学经历了很大的发展。本文简要地叙述了外语教学法研究的历史 ,分析和论述了外语教学法的历史演变 ,以及当前外语教学的发展趋向 ,这对改革我们当前的外语教学 ,推动外语教学研究的深入 ,都有着十分重要的意义     

An affine‐invariant multivariate sign test for cluster correlated data

The author presents a multivariate location model for cluster correlated observations. He proposes an affine‐invariant multivariate sign statistic for testing the value of the location parameter. His statistic is an adaptation of that proposed by Randles (2000). The author shows, under very mild conditions, that his test statistic is asymptotically distributed as a chi‐squared random variable under the null hypothesis. In particular, the test can be used for skewed populations. In the context of a general multivariate normal model, the author obtains values of his test's Pitman asymptotic efficiency relative to another test based on the overall average. He shows that there is an improvement in the relative performance of the new test as soon as intra‐cluster correlation is present Even in the univariate case, the new test can be very competitive for Gaussian data. Furthermore, the statistic is easy to compute, even for large dimensional data. The author shows through simulations that his test performs well compared to the average‐based test. He illustrates its use with real data.     

上犹社溪方言实词的兼类与活用

当语言中的一个新词诞生以后 ,只要表示与之相关的动作变化或状态的动词或形容词没有产生 ,就很可能直接用这个词来表示这种相关的动作变化或状态。因此 ,词的兼类是各种语言或方言、或各个不同时期的同一语言中常见的现象。在语言的发展史上 ,尽可能减少词的兼类现象 ,特别是通过形态变化等手段把兼类的词分化为不同的词 ,还有些词存在活用现象 ,显得很有地方特色。从此角度说 ,客家方言保留着较多的古语痕迹。     

情感：生活意义的感受与体验

情感是最基本的心理现象和心理过程之一，也是最为扑朔迷离的心理——精神现象之一。情感不仅仅是一种感受与体验，一种对意义的感受与体验，更是一种对人生价值、生命意义的感受与体验；人的情感所感受与体验到的之所以是人生的价值、生命的意义，首先是因为情感与生命有着极其密切的关联，其次是因为追寻价值与意义是人的生命的本质特征。人生价值、生命意义实质上是生活价值、生活意义，故情感是对生活意义的感受与体验。     

A partial score test for difference among heterogeneous populations

In event time data analysis, comparisons between distributions are made by the logrank test. When the data appear to contain crossing hazards phenomena, nonparametric weighted logrank statistics are usually suggested to accommodate different-weighted functions to increase the power. However, the gain in power by imposing different weights has its limits since differences before and after the crossing point may balance each other out. In contrast to the weighted logrank tests, we propose a score-type statistic based on the semiparametric-, heteroscedastic-hazards regression model of Hsieh [2001. On heteroscedastic hazards regression models: theory and application. J. Roy. Statist. Soc. Ser. B 63, 63–79.], by which the nonproportionality is explicitly modeled. Our score test is based on estimating functions derived from partial likelihood under the heteroscedastic model considered herein. Simulation results show the benefit of modeling the heteroscedasticity and power of the proposed test to two classes of weighted logrank tests (including Fleming–Harrington's test and Moreau's locally most powerful test), a Renyi-type test, and the Breslow's test for acceleration. We also demonstrate the application of this test by analyzing actual data in clinical trials.     

企业管理者的人格魅力

管理者人格魅力的表现量度,关系着企业经济效益的增值态势,是市场经济条件下企业整体营销的关键元素之一。本文分析了表现管理者人格魅力的现实必要性;管理者人格魅力的具体内涵;管理者人格魅力显现出的价值意义等主要内容,提出企业管理者应该进行自身的人格定位。     

论陈云的求实品格

陈云求实的精神品格,是在马克思主义理论熏陶下,在中国革命和建设具体实践过程中逐步形成和发展起来的.陈云求实的精神品格具有丰富的内涵:思维方式上的辩证方法--"交换、比较、反复";行为方式上的务实态度--"不唯上、不唯书、只唯实";价值取向上的民本立场--"时刻注意为群众谋福利".学习、研究陈云求实的精神品格,具有极其重大的现实意义:有利于坚持实事求是态度,更好地推进中国特色社会主义建设;有利于坚持以人为本,更好地推进人的全面发展.     

An empirical likelihood goodness-of-fit test for time series

Summary. Standard goodness-of-fit tests for a parametric regression model against a series of nonparametric alternatives are based on residuals arising from a fitted model. When a parametric regression model is compared with a nonparametric model, goodness-of-fit testing can be naturally approached by evaluating the likelihood of the parametric model within a nonparametric framework. We employ the empirical likelihood for an α -mixing process to formulate a test statistic that measures the goodness of fit of a parametric regression model. The technique is based on a comparison with kernel smoothing estimators. The empirical likelihood formulation of the test has two attractive features. One is its automatic consideration of the variation that is associated with the nonparametric fit due to empirical likelihood's ability to Studentize internally. The other is that the asymptotic distribution of the test statistic is free of unknown parameters, avoiding plug-in estimation. We apply the test to a discretized diffusion model which has recently been considered in financial market analysis.