中国古代小说、戏曲版本之比较研究

中国古代小说和戏曲的版本均经历了一个从无到有、不断演进的过程;被随意改动、评点的现象比较普遍,因此影响到作品的主题和人物形象。古代小说比戏曲的版本情况更复杂,删削、割裂、作伪、续书等现象屡见不鲜。其原因在于两者的文化内涵和审美特征的差异。古代小说与下层文人联系更为密切,因而版本问题更多。     

修辞音乐美及再现--双声叠韵与Alliteration和Assonance的对比和翻译

汉语双声叠韵与英语Alliteration和Assonance有着异同互见的音韵特点。它们以各自特有的韵律为语言增添了音乐美。译者可以用对应,增补,转换和省略等方法再现这种修辞的音乐美,以增强语言的感染力。     

疫情防控期间高校线上教学的效果调查与分析

突发的疫情使得线上教学在所有高校全面铺开。为了了解这次“应急线上教学”的教学效果,上海理工大学教师发展中心对全校师生从线上教学的评价、线上线下教学体验对比、线上教学带给师生的改变等方面进行了线上教学效果的问卷调查。研究对专项调查的数据进行了深入分析,得出了线上与线下学习效果基本等效、线上线下教学各具优势、线上教学带来深刻改变的调查结果,提出了线上教学存在的主要问题,并给出了相应提升线上教学效果的建议。     

现代信用风险度量模型的实证比较与适用性分析

本文通过实证比较分析发现,现代信用风险度量模型对银行贷款的违约率、贷款损失和损失率的预测结果的差异性较大;但信用监测模型和信用风险附加法所预测的经济资本配置比例不仅符合巴塞尔协议对银行贷款经济资本的要求,也略大于实际应该配置的比例,实证表明了它们对度量我国商业银行贷款组合的信用风险具有较好的适用性.此外,本文也充分验证了借款人信用等级的不同,银行贷款经济资本配置的比例会有显著性的差异.     

A new test for multivariate normality by combining extreme and nonextreme BHEP tests

In this article, we propose a new multiple test procedure for assessing multivariate normality, which combines BHEP (Baringhaus–Henze–Epps–Pulley) tests by considering extreme and nonextreme choices of the tuning parameter in the definition of the BHEP test statistic. Monte Carlo power comparisons indicate that the new test presents a reasonable power against a wide range of alternative distributions, showing itself to be competitive against the most recommended procedures for testing a multivariate hypothesis of normality. We further illustrate the use of the new test for the Fisher Iris dataset.     

近五年中英幼儿教师职前教育项目的比较及其启示

2014年以来，中英两国均出台了卓越取向的幼儿教师职前培养项目以提升幼儿教师质量，促进幼儿教育高质量发展。通过比较研究两国幼儿教师职前培养项目在培养机构、课程内容、学员情况、经费投入方面的特色及异同点，分析得出我国卓越幼儿园教师的培养实施可借鉴英国幼儿教师职前教育项目的经验，建立卓越幼儿园教师专业标准，开设职前职后一体化培养路径，健全培养质量监管与激励机制三方面的经验。     

新闻标题的传播环境与实践问题分析

新闻作品文本的标题具有不同于文学作品文本标题的语境特点,主要表现在新闻内容要素对标题具有强烈的制约性,且标题往往可以在文本完成之后再拟制或再进行修改.新闻标题的语境特殊性给一些标题修辞手法的使用提供了机缘,移脱、活化、对比、飞白等标题制作方法经常在新闻标题中广泛使用.     

《史记》《汉书》行文之雅俗对比研究

在《史记》《汉书》的对比研究中,行文风格的对比被视为重点。文章通过两部典籍同篇同句的对比,从表达的人称及语言的典雅两个方面,对两部作品进行行文上雅俗的对比研究。     

An adaptive two-sample location-scale test of lepage type for symmetric distributions

For the two-sample location and scale problem we propose an adaptive test which is based on so called Lepage type tests. The well known test of Lepage (1971) is a combination of the Wilcoxon test for location alternatives and the Ansari-Bradley test for scale alternatives and it behaves well for symmetric and medium-tailed distributions. For the cae of short-, medium- and long-tailed distributions we replace the Wilcoxon test and the .Ansari-Bradley test by suitable other two-sample tests for location and scale, respectively, in oder to get higher power than the classical Lepage test for such distribotions. These tests here are called Lepage type tests. in practice, however, we generally have no clear idea about the distribution having generated our data. Thus, an adaptive test should be applied which takes the the given data set inio consideration. The proposed adaptive test is based on the concept of Hogg (1974), i.e., first, to classify the unknown symmetric distribution function with respect to a measure for tailweight and second, to apply an appropriate Lepage type test for this classified type of distribution. We compare the adaptive test with the three Lepage type tests in the adaptive scheme and with the classical Lepage test as well as with other parametric and nonparametric tests. The power comparison is carried out via Monte Carlo simulation. It is shown that the adaptive test is the best one for the broad class of distributions considered.     

Likelihood ratio order of parallel systems under multiple-outlier models

This paper studies the likelihood ratio ordering of parallel systems under multiple-outlier models. We introduce a partial order, the so-called θ-order, and show that the θ-order between the parameter vectors of the parallel systems implies the likelihood ratio order between the systems.