T.S艾略特之"阿尔佛雷特的爱之歌"与新批评主义

Ｔ .Ｓ .Ｅｌｉｏｔ -ａＣｅｌｅｂｒａｔｅｄＡｍｅｒｉｅａｎＰｏ ｅｔ,ＤｒａｍａｔｉｓｔａｎｄｃｒｉｔｉｃＴ .Ｓ .Ｅｌｉｏｔ (1 888— 1 965 ) ,ａｃｅｌｅｂｒａｔｅｄＡｍｅｒｉ ｃａｎｐｏｅｔ,ｄｒａｍａｔｉｓｔａｎｄｃｒｉｔｉｃ,ｒｅｃｅｉｖｅｄａｎｅｘｃｅｌｌｅｎｔｅｄｕｃａｔｉｏｎｏｆｃｌａｓｓｉｃａｌｌｉｔｅｒａｔｕｒｅｗｈｅｎｈｅｗａｓｙｏｕｎｇ .ＨｅｆｉｎｉｓｈｅｄｈｉｓｓｔｕｄｉｅｓｉｎＨａｒｖａｒｄｕｎｄｅｒｔｈｅｇｕｉｄａｎｃｅｏｆｔｈｅｗｅｌｌ-ｋｎｏｗｎｓｃｈｏｌａｒｓＩｒｖｉｎ…     

斯·茨威格的教育思想

茨威格在其回忆录和一些小说中，对奥地利当时的教育制度、教学计划、学校、教育者、学生等都是有颇多微词的。今天再来审视茨威格对他的中小学生活的回忆，可以看出他对旧教育制度的愤懑，也不难发现其中蕴含着具有远见卓识的教育理念，这在２１世纪我们大兴创新教育之际仍有借鉴作用。     

迷茫中的选择 现实中的妥协——对我国刑诉案中证人出庭困境的理性批判

《刑事诉讼法》经过系统修改在我国颁布实行后,我国的刑事司法制度日益完善,更趋向于合理。但在具体考量刑事司法制度变革是否深入的问题时,证人怠于出庭逐渐成为衡量其成功与否的重要因素。对此问题的探究,不能仅站在国家管理者的高度凭惯性思考,需要研究者超越历史的局限,从证人对自身重大利益的关切,以及社会强势群体的示范导向和人情社会的惰性阻碍着眼,加以理性地批判。     

英语写作中有效反馈信息的探讨

文章简要阐述了反馈信息,论述了作文工作研究的意义及在作文写作中有效的信息反馈形式,提出了增强写作能力的可行措施。     

农民工社会保障现状分析与政策建议

通过调查发现,农民工存在较为严重的社会保障问题,而这种状况又隐藏着严重的社会隐患,造成农民工社会保障缺失有社会地位方面的、认识方面的、资金方面和操作方面的原因。为解决农民工社会保障问题必须建立有利于城乡衔接的农民工社会保障制度和实施积极的促进农民工就业的政策。     

A class of count models and a new consistent test for the Poisson distribution

We define a class of count distributions which includes the Poisson as well as many alternative count models. Then the empirical probability generating function is utilized to construct a test for the Poisson distribution, which is consistent against this class of alternatives. The limit distribution of the test statistic is derived in case of a general underlying distribution, and efficiency considerations are addressed. A simulation study indicates that the new test is comparable in performance to more complicated omnibus tests.     

Lower bounds on expectations of positive L-statistics from without-replacement models

We consider samples drawn without replacement from finite populations. We establish optimal lower non-negative and upper non-positive bounds on the expectations of linear combinations of order statistics centered about the population mean in units generated by the population central absolute moments of various orders. We also specify the general results for important examples of sample extremes, Gini mean differences and sample range. The paper completes the results of Papadatos and Rychlik [2004. Bounds on expectations of L-statistics from without replacement samples. J. Statist. Plann. Inference 124, 317–336], where sharp negative lower and positive upper bounds on the expectations of the combinations were presented for the without-replacement samples.     

论奥斯古德对昆明高峣社区的人类学研究

1938年夏天,美国年轻学者科尼利尔斯·奥斯古德为了履行与燕京大学的合作计划,不远万里来到滇池西岸一个名不见经传的小村庄调查.1961年,他开启尘封的笔记本,整理旧资料,补充新文献,完成了<旧中国的农村生活:对云南高峣的社区研究>.70年过去,重温科尼利尔斯·奥斯古德的研究历程,我们仍会从中获得许多有益的启示.     

Wilcoxon–Mann–Whitney test for stratified samples and Efron's paradox dice

Two-treatment multi-center clinical trials are the most common type of clinical trials in practice. The aim of this paper is to discuss a curious property of certain standard nonparametric procedures used in the analysis of such clinical trials. Different analyses of a simulated data example are presented, which lead to contrasting and surprising results. The source of the potentially misleading outcome is then explored while relating the simulated data with the concept of Efron's paradox dice and the notion of nontransitivity. With the root of the problem established, an alternate nonparametric method from the literature is shown to address the problem. Finally, pointing out an interpretational concern of using the alternate procedure, a modification to this procedure is also suggested and corresponding theoretical results are presented.     

Two-stage Huber estimation

In this paper we propose a new robust estimator in the context of two-stage estimation methods directed towards the correction of endogeneity problems in linear models. Our estimator is a combination of Huber estimators for each of the two stages, with scale corrections implemented using preliminary median absolute deviation estimators. In this way we obtain a two-stage estimation procedure that is an interesting compromise between concerns of simplicity of calculation, robustness and efficiency. This method compares well with other possible estimators such as two-stage least-squares (2SLS) and two-stage least-absolute-deviations (2SLAD), asymptotically and in finite samples. It is notably interesting to deal with contamination affecting more heavily the distribution tails than a few outliers and not losing as much efficiency as other popular estimators in that case, e.g. under normality. An additional originality resides in the fact that we deal with random regressors and asymmetric errors, which is not often the case in the literature on robust estimators.