ESTIMATING A PARAMETER WHEN IT IS KNOWN THAT THE PARAMETER EXCEEDS A GIVEN VALUE

In some statistical problems a degree of explicit, prior information is available about the value taken by the parameter of interest, θ say, although the information is much less than would be needed to place a prior density on the parameter's distribution. Often the prior information takes the form of a simple bound, ‘θ > θ₁ ’ or ‘θ < θ₁ ’, where θ₁ is determined by physical considerations or mathematical theory, such as positivity of a variance. A conventional approach to accommodating the requirement that θ > θ₁ is to replace an estimator, , of θ by the maximum of and θ₁. However, this technique is generally inadequate. For one thing, it does not respect the strictness of the inequality θ > θ₁ , which can be critical in interpreting results. For another, it produces an estimator that does not respond in a natural way to perturbations of the data. In this paper we suggest an alternative approach, in which bootstrap aggregation, or bagging, is used to overcome these difficulties. Bagging gives estimators that, when subjected to the constraint θ > θ₁ , strictly exceed θ₁ except in extreme settings in which the empirical evidence strongly contradicts the constraint. Bagging also reduces estimator variability in the important case for which is close to θ₁, and more generally produces estimators that respect the constraint in a smooth, realistic fashion.     

Forward irrelevance

We investigate how to combine marginal assessments about the values that random variables assume separately into a model for the values that they assume jointly, when (i) these marginal assessments are modelled by means of coherent lower previsions and (ii) we have the additional assumption that the random variables are forward epistemically irrelevant to each other. We consider and provide arguments for two possible combinations, namely the forward irrelevant natural extension and the forward irrelevant product, and we study the relationships between them. Our treatment also uncovers an interesting connection between the behavioural theory of coherent lower previsions, and Shafer and Vovk's game-theoretic approach to probability theory.     

On equality of ordinary least squares estimator,best linear unbiased estimator and best linear unbiased predictor in the general linear model

The equality of ordinary least squares estimator (OLSE), best linear unbiased estimator (BLUE) and best linear unbiased predictor (BLUP) in the general linear model with new observations is investigated through matrix rank method, some new necessary and sufficient conditions are given.     

可以容忍的不平等：过渡与差别--柯亨思想的一种政治哲学考量

柯亨认为,马克思主义追求的社会主义理想是消除资本主义的阶级剥削,代之以经济平等和彻底的民主,但是,从历史和现实看,我们都距离马克恩的理想有很大距离。即使作为当前的合理目标是最好的选择,市场社会主义至多仍然是次优的选择。鉴于历史发展的进程要求,即过渡特征,我们必须对结果意义上的各种不平等采取包容政策。但在社会主义机会平等的条件下,收入差异在仅仅反映了不同的收入、闲暇差异时才是可以接受的。社会主义平等并非“机械的平等”或“结果的相同”。     

新农村建设“三点一面”工作体系的构建

一些发达国家的发展历程表明,在工业化、城市化进程中,都有一个新农村建设的过程,也正是这个过程推动了其经济发展的再次跨越。我国提出的社会主义新农村建设这一历史性课题,是一项长期而又复杂的系统工程。县域作为承载农村发展的前沿,是实验者,更是直接推动者。近年来,胶州市始终坚持以城乡统筹为基本思路、以城乡一体化为目标方向,探索形成了健全工作推进面、找准突破切入点、夯实经济支撑点、强化城乡统筹点的“三点一面”新农村建设工作体系,创新性地确立了新农村建设百项评价指标体系,全面推进了新农村建设,并获得了许多宝贵经验。     

《红楼梦》英译本中的中医药文化现象

要实现文学文本的跨文化交际功能,译者不仅要有文学、语言学和翻译学的功底,还要有各种文化知识的储备。以古典文学名著《红楼梦》为例,翻译小说中的中医药文化现象,既要体现中医药术语的特殊性,又要保持小说应有的文学色彩。     

盖尔达维的中间主义思想研究

作为当代阿拉伯-伊斯兰世界的主流思潮之一,伊斯兰“中间主义”认为,伊斯兰文明的首要信息是中正与和平,伊斯兰教反对各种形式的极端主义和恐怖主义,不同文明间应开展平等对话与交流,不同民族和国家间的友好交往是人类共同发展和世界持久和平的基础。卡塔尔大学教授尤苏夫·盖尔达维是这一思潮的重要代表人物之一,本文对其主要思想作了简要介绍,并指出他的中正、中和思想对于维护阿拉伯民族的团结、促进各国人民相互理解和世界和平事业,具有重要的现实意义。     

佛学视角下的《五灯会元》词语训诂举隅

《五灯会元》中的"知有"有人释为"知晓、知道",我们认为当训释为"知道圆成实性(妙有)";"不惜眉毛"有人释为"不惜花费心思",我们认为当释为"不惜承受恶报";"惜取眉毛"有人释为"省点精神"、"少费点口舌",我们认为当释为"不敢造恶";"眉须堕落"有人释为"思考错误、言行未当",笔者认为当释为"承受恶报";"出队"有人释为"出行列"或"出队列",我们认为当释为"住持有事远出".     

“一体两翼”人才培养模式下《财务管理》课程教学改革

所谓的"一体两翼","一体"是以学校培养为主体,"两翼"是以满足面向国内、国际人才需要进行培养为两翼。对于广西地方高校来说,面向国际市场主要是满足面向中国—东盟自由贸易区对人才的需要进行培养。文章初步总结了"一体两翼"人才培养模式下《财务管理》课程教学方法、教学内容以及考核方式的一些尝试,以期对改革财会人才的培养机制起到一定的作用。