How do countries choose their monetary policy frameworks?

This paper investigates the determinants of countries’ choices of monetary policy framework. A brief narrative focused on groupings of countries motivates an econometric analysis which draws on previous work on the determinants of exchange rate regimes, bringing in standard factors as well as the trade networks of potential anchor currency blocs and the financial market depth that are emphasised in the narrative. The model turns out to be able to predict three quarters of countries’ choices, and there is no obvious systematic pattern in the errors. The results have important implications for how countries should choose their monetary policy frameworks.     

国内外二语词汇深度研究综述

近十几年来国内外研究者开始将词汇研究的重点从宽度或词汇量的研究转向对词汇深度或词质量的研究。和产出性词汇相比 ,接受性词汇习得具有明显的“超出”现象 ;词汇知识习得过程存在一定的发展模式 ,如学习初期词义发展较快 ,中高级阶段派生、搭配等发展较快 ;词汇深度和广度与语言综合能力尤其是阅读能力关系密切     

Multivariate outlier detection in incomplete survey data: the epidemic algorithm and transformed rank correlations

Summary.  As a part of the EUREDIT project new methods to detect multivariate outliers in incomplete survey data have been developed. These methods are the first to work with sampling weights and to be able to cope with missing values. Two of these methods are presented here. The epidemic algorithm simulates the propagation of a disease through a population and uses extreme infection times to find outlying observations. Transformed rank correlations are robust estimates of the centre and the scatter of the data. They use a geometric transformation that is based on the rank correlation matrix. The estimates are used to define a Mahalanobis distance that reveals outliers. The two methods are applied to a small data set and to one of the evaluation data sets of the EUREDIT project.     

叛逆女性的性格悲剧--《雷雨》中繁漪形象的深度阐解

《雷雨》中的繁漪是具有鲜明特色和复杂蕴涵的叛逆女性形象，其鲜明特色在于独特性的雷雨性格，其复杂蕴涵在于人性建构中的理性因素与非理性因素和个体生命力中的创造性力量与破坏性力量的相兼相制，因而深切地显现出人性的深度。     

基于规则的MCD磨粒信息诊断专家系统

研究了一种用于发动机磨损状态监测与故障诊断的MCD磨粒信息诊断专家系统 (ES)。首先讨论了诊断知识的获取与规则表示方法 ,接着根据面向对象模板化设计思想 ,研究了一种知识库、推理机和人机界面的一体化构造策略 ,并在此基础上引入深度优先搜索、反向引导正向控制的启发性推理机制     

Resampling-based Classification Using Depth for Functional Curves

The depths, which have been used to detect outliers or to extract a representative subset, can be applied to classification. We propose a resampling-based classification method based on the fact that resampling techniques yield a consistent estimator of the distribution of a statistic. The performance of this method was evaluated with eight contaminated models in terms of Correct Classification Rates (CCRs), and the results were compared with other known methods. The proposed method consistently showed higher average CCRs and 4% higher CCR at the maximum compared to other methods. In addition, this method was applied to Berkeley data. The average CCRs were between 0.79 and 0.85.     

对我国高等院校“专接本”教育模式的反思

本文阐明"专接本"教育的双重属性,表明"专接本"教育的定位内涵,提出"专接本"教育区别于普通本科教育、也有别于专科职业教育,却是职业教育的接续和深化。强调变革现行"专接本"教育的培养方案、师资队伍、教学评价系统、教学管理机制。     

On smoothness of Tukey depth contours

The smoothness of Tukey depth contours is a regularity condition often encountered in asymptotic theory, among others. This condition ensures that the Tukey depth fully characterizes the underlying multivariate probability distribution. In this paper we demonstrate that this regularity condition is rarely satisfied. It is shown that even well-behaved probability distributions with symmetrical, smooth and (strictly) quasi-concave densities may have non-smooth Tukey depth contours, and that the smoothness behaviour of depth contours is fairly unpredictable.     

模具钢干铣削试验及参数优化研究

为了对铣削力做进一步的研究,以及预测铣削参数的改变对铣削力变化的影响,文章建立了铣削力预测模型,引 入了PSO优化算法。试验采用正交设计方法,干式铣削SKD61模具钢;KISTLER测力仪测量铣削力;HRsoft_DW数采软 件采集试验数据,并对数据进行极差分析。研究结果表明每齿进给量是铣削参数中影响铣削力最为主要的因素。研究 验证了PSO算法对铣削参数优化问题具有有效性。     

Testing Treatment-Covariate Interaction in a Nonparametric Analysis of Covariance Model

We consider a recently introduced nonparametric model for Analysis of Covariance and derive an asymptotic test for interaction between covariate and treatment. Furthermore, we suggest data depth techniques to obtain joint confidence regions for the covariate effects in this model.

The finite sample behavior of the asymptotic method is evaluated in simulations. Application of the procedures is illustrated using an epileptic seizures and chemotherapy data set.