Krashen的“输入”理论对英语新闻听力教学的启示

英语新闻听力是英语专业学生学习的一个薄弱环节。研究K rashen的语言输入理论,对开展英语新闻听力教学有很大的启示。     

假设检验的一个常见误区

文章通过对假设检验的一个常见错误进行了理论分析,指出假设检验的方法只能在一定情况下否定原假设而不能肯定原假设,并提出了设定原假设和备择假设的正确而简明的方法。     

封闭型基金折价之谜研究述评

封闭型基金折价是一个一直困扰人们的难解之谜,它违背了有效市场假说,是对现代金融理论的一种挑战。文章介绍了封闭型基金折价之谜,并结合现代金融理论、行为金融理论和一些最新研究成果综述了对封闭型基金折价之谜的种种解释,有助于进一步理解和研究这一现象。     

The invisible minority: under-representation of people with disabilities in prime-time TV dramas in Japan

This study analysed the depiction of people with disabilities in Japanese TV dramas. Using preview issues of TV Guide, we content-analysed serial dramas and drama series aired during prime time on five commercial broadcasting networks between January 1993 and December 2002. The results showed that only 1.7 per cent of the characters examined were disabled, indicating that disabled persons were under-represented on TV. The study also found that most of the disabled persons depicted were young; there were almost no elderly people with disabilities. Analysis also revealed that Japanese TV dramas focused on certain disabilities. The implications of these findings are also discussed from the perspective of cultivation theory and the drench hypothesis.     

就业需求与工业化：一个新的分析框架

继 90年代初始 ,我国工业化进程中出现生产能力相对过剩 ,工业总产值增长率持续下降 ,从供给角度描述工业化过程的传统二元经济理论 ,已难以解释我国现阶段生产能力过剩的问题。因此 ,本文提出工业化就业与需求假说 ,构建二元经济理论模型 ,并实证分析改革以来我国就业需求与工业化变动 ,说明非农就业等需求因素对工业化的影响 ,为二元经济下的工业化过程提供了新的分析框架。     

Two-stage U-statistics for Hypothesis Testing

Abstract.  A U -statistic is not easy to apply or cannot be applied in hypothesis testing when it is degenerate or has an indeterminate degeneracy under the null hypothesis. A class of two-stage U -statistics (TU-statistics) is proposed to remedy these drawbacks. Both the asymptotic distributions under the null and the alternative of TU-statistics are shown to have simple forms. When the degeneracy is indeterminate, the Pitman asymptotic relative efficiency of a TU-statistic dominates that of the incomplete U -statistics. If the kernel is degenerate under the null hypothesis but non-degenerate under the alternative, a TU-statistic is proved to be more powerful than its corresponding U -statistic. Applications to testing independence of paired angles in ecology and marine biology are given. Finally, a simulation study shows that a TU-statistic is more powerful than its corresponding incomplete U -statistic in almost all cases under two settings.     

Empirical likelihood tests for two‐sample problems via nonparametric density estimation

The authors study the problem of testing whether two populations have the same law by comparing kernel estimators of the two density functions. The proposed test statistic is based on a local empirical likelihood approach. They obtain the asymptotic distribution of the test statistic and propose a bootstrap approximation to calibrate the test. A simulation study is carried out in which the proposed method is compared with two competitors, and a procedure to select the bandwidth parameter is studied. The proposed test can be extended to more than two samples and to multivariate distributions.     

论模糊数学在假设检验中的应用

文章通过对隶属函数的集中度系数确定的探讨,将模糊数学应用于贝叶斯统计学,从而形成了一种新的假设检验方法.     

假设的哲学——用假设和集合论研究哲学的方法

思维和存在的关系问题或是哲学的一个部分呢?还是全部?在逻辑的基础上,运用假设和集合论是研究哲学的一种方法,正如数学是建立在假设和逻辑之上的一样。假设1:一切论都建立在假设之上。假设2:任何概念都有论域。运用假设和集合论的方法,应该可以得到下面的一些概念:(1)任何两个概念仅在一定的条件下相同。(2)任何命题仅在一定的条件下为真。(3)运用假设2可以在概念上解决悖论,悖论是由于论域不清造成的。     

Approximation of power in multivariate analysis

We consider the calculation of power functions in classical multivariate analysis. In this context, power can be expressed in terms of tail probabilities of certain noncentral distributions. The necessary noncentral distribution theory was developed between the 1940s and 1970s by a number of authors. However, tractable methods for calculating the relevant probabilities have been lacking. In this paper we present simple yet extremely accurate saddlepoint approximations to power functions associated with the following classical test statistics: the likelihood ratio statistic for testing the general linear hypothesis in MANOVA; the likelihood ratio statistic for testing block independence; and Bartlett's modified likelihood ratio statistic for testing equality of covariance matrices.