颓废主义文学思潮与新理性主义

新时期颓废主义文学思潮诞生之初,有着对传统僵化思想及模式化创作手段反叛与挑战的前卫意味。它走过文革后期的政治高压时代以及朦胧诗、文化寻根、先锋派文学等历史阶段,最终在部分新生代作家手中断送了它最后一点存在的合理性。于是,新理性主义也就必然在文坛应运而生。新理性主义的产生是时代进步的呼唤、人的精神净化的要求,也是先进文化发展的必然趋势,它体现了先进文化代表的理性力量,有着弘扬人文精神,摆脱物欲横流的现实危机,推动精神文明建设的可行有效性。     

企业营销渠道变化与新型营销模式构建

本文分析了营销渠道定义、渠道成员的职能和渠道管理的重点 ,对企业营销渠道的变迁进行了回顾和研究 ,全面论述了当今营销渠道的发展趋势。在此基础上 ,对中国企业营销渠道的构建提出了自己的见解。     

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.     

上海都市旅游业发展研究

随着上海市主办2010年世界博览会准备工作的深入推进,上海都市旅游产业也获得了迅速的发展,上海日益成为中国最重要的都市旅游目的地以及都市旅游产业发展重心。上海市政府也积极与江苏、浙江两省政府合作,共同推进区域旅游产业的发展,打造世界级的旅游中心。本文对上海都市旅游业的发展状况、主要特征、战略趋势、政策特点及发展机遇等进行了比较详细的分析研究。     

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.     

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.     

A circular-cone test for testing homogeneity against a simple tree order

Several methods exist for the problem of testing the equality of several treatments against the one-sided alternative that the treatments are better than the control. These methods include Dunnett's test, Bartholomew's likelihood-ratio test, the Abelson-Tukey-Schaafsma-Smid optimal-contrast test, and the multiple-contrast test of Mukerjee, Robertson, and Wright. A new test is proposed based on an approximation of the likelihood-ratio test of Bartholomew. This test involves using a circular cone in place of the alternative-hypothesis cone. The circular-cone test has excellent power characteristics similar to those of Bartholomew's test. Moreover, it has the advantages of being simpler to compute and may be used with unequal sample sizes.     

中西宗教文化管见

本文从语言和社会生活的角度出发，对汉民族和北美的大众宗教信仰进行了初步探索，指出了人类心理中宗教观念存在的普遍性并探讨了宗教文化的发展趋势。     

阅读测验中认知与元认知策略研究

语言知识、策略能力和情绪等心理和社会特征在语言使用中交互作用,并对语言沟通能力产生影响。文章采用定量与定性方法对其预测性及内部关联加以实证。研究发现二者关联度很强,元认知策略对绩效预测力显著强于认知策略。认知与元认知策略呈现相互嵌套模式,相同加工行动在不同情境中由于履行功能差异而转换角色。