Linear scalar-on-surface random effects regression models

Many research fields increasingly involve analyzing data of a complex structure. Models investigating the dependence of a response on a predictor have moved beyond the ordinary scalar-on-vector regression. We propose a regression model for a scalar response and a surface (or a bivariate function) predictor. The predictor has a random component and the regression model falls in the framework of linear random effects models. We estimate the model parameters via maximizing the log-likelihood with the ECME (Expectation/Conditional Maximization Either) algorithm. We use the approach to analyze a data set where the response is the neuroticism score and the predictor is the resting-state brain function image. In the simulations we tried, the approach has better performance than two other approaches, a functional principal component regression approach and a smooth scalar-on-image regression approach.     

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     

弯曲液面的附加压强

本文主要从球形液面内、外的压强差和任意弯曲液面内、外的压强差两个方面推导 了弯曲液面的附加压强公式。     

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.     

A semi-parametric approach to robust parameter design

Parameter design or robust parameter design (RPD) is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic. An essential component of RPD involves the assumption of well estimated models for the process mean and variance. Traditionally, the modeling of the mean and variance has been done parametrically. It is often the case, particularly when modeling the variance, that nonparametric techniques are more appropriate due to the nature of the curvature in the underlying function. Most response surface experiments involve sparse data. In sparse data situations with unusual curvature in the underlying function, nonparametric techniques often result in estimates with problematic variation whereas their parametric counterparts may result in estimates with problematic bias. We propose the use of semi-parametric modeling within the robust design setting, combining parametric and nonparametric functions to improve the quality of both mean and variance model estimation. The proposed method will be illustrated with an example and simulations.     

运用表面光电压技术对半导体表面光电特性的研究

对运用表面光电压技术(SPS)对半导体材料光电性质的研究进行了综述,系统阐述了表面光电压谱(SPS)和场诱导表面光电压谱(FISPS)在测定半导体类型、表面态及其能级位置、表面电荷分布、半导体的能带隙等方面所表现出的优越性质.研究了半导体能带隙所表现出的特有性质.     

对新时期高校班主任工作的思考

文章结合班主任工作的体会 ,根据新时期大学生的特点 ,着重从五个方面论述了新时期班主任工作的新特点与方法     

高T_c超导材料微波特性的自动化测量

采用单腔多模谐振腔,通过部分置换样品的方法,在程控标量网络分析系统上,实现了高 T_c 超导材料微波特性的自动化测量。该方法简单、准确,能同时测出超导样品的工作频率、微波表面阻抗、工作温度等多个参数,并能以图或表的形式给出测试结果。给出了3 cm 频段上YBCO 块材样品在77K 及附近温度下的测量结果,指出 YBCO 块材的微波特性还有待提高。     

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。