认知负荷模型下科技同传的“顺句驱动”

根据Gile的认知负荷模型,科技同声传译过程中采用“顺句驱动”的原则能够迅速地把信息与意图传递给目的语听众,达到成功交际的目的。对译、断句、概括总结和储存等翻译策略是科技同传“顺句驱动”的主要具体表现形式,“顺句驱动”原则的灵活运用能够达到更好的同传效果。     

基于结构方程模型的经销商低碳行为能力评价

低碳经济背景下,新的经营环境和社会责任给企业的生存与发展带来了重大的影响。经销商作为闭环供应链上的渠道主体,实施低碳行为是实现资源长远利用的必然选择,也是企业能够保持长久竞争优势的重要手段。基于此,在问卷调查的基础上,运用结构方程模型对经销商低碳行为能力进行评价,通过SPSS 13.0和LISREL 8.80等软件处理指标数据,进而完成模型的运行、检验与修正,筛选出有关键作用的影响因素,并针对性地加以改进,为经销商能够长期实现“经济与环境”的综合效益提供理论指导与技术参考。     

Modern variable selection for longitudinal semi-parametric models with missing data

Penalized methods for variable selection such as the Smoothly Clipped Absolute Deviation penalty have been increasingly applied to aid variable section in regression analysis. Much of the literature has focused on parametric models, while a few recent studies have shifted the focus and developed their applications for the popular semi-parametric, or distribution-free, generalized estimating equations (GEEs) and weighted GEE (WGEE). However, although the WGEE is composed of one main and one missing-data module, available methods only focus on the main module, with no variable selection for the missing-data module. In this paper, we develop a new approach to further extend the existing methods to enable variable selection for both modules. The approach is illustrated by both real and simulated study data.     

Semiparametric estimation of treatment effect with density ratio model

In this study we propose a unified semiparametric approach to estimate various indices of treatment effect under the density ratio model, which connects two density functions by an exponential tilt. For each index, we construct two estimating functions based on the model and apply the generalized method of moments to improve the estimates. The estimating functions are allowed to be non smooth with respect to parameters and hence make the proposed method more flexible. We establish the asymptotic properties of the proposed estimators and illustrate the application with several simulations and two real data sets.     

On some analogues of lack of memory properties for the Gompertz distribution

We discuss some analogues of the lack of memory property, the strong lack of memory property and the almost lack of memory properties for the Gompertz distribution as applications of the integrated Cauchy functional equation.     

农村非农就业对中国城乡收入不均等的影响——基于中国东中西部面板数据的比较研究

通过对劳动力流动和收入分配的相关研究进行综述,并基于1989～2008年中国各省份的面板数据,采用STATA10.0计量软件,建立联立方程组,运用似不相关方法实证研究农村非农就业对中国区域城乡收入不均等的影响,结果表明：中国农村非农就业在一定程度上扩大了省际间城乡收入不均等;从中国东中西部各地区实证结果看,农村非农就业有利于缩小东部地区的城乡收入不均等,但扩大了中西部地区城乡收入不均等,且农村非农就业对西部地区城乡收入差距的影响程度远高于全国和东中部地区。     

Approximate jackknife empirical likelihood method for estimating equations

It is known that the profile empirical likelihood method based on estimating equations is computationally intensive when the number of nuisance parameters is large. Recently, Li, Peng, & Qi (2011) proposed a jackknife empirical likelihood method for constructing confidence regions for the parameters of interest by estimating the nuisance parameters separately. However, when the estimators for the nuisance parameters have no explicit formula, the computation of the jackknife empirical likelihood method is still intensive. In this paper, an approximate jackknife empirical likelihood method is proposed to reduce the computation in the jackknife empirical likelihood method when the nuisance parameters cannot be estimated explicitly. A simulation study confirms the advantage of the new method. The Canadian Journal of Statistics 40: 110–123; 2012 © 2012 Statistical Society of Canada     

Marginal methods for clustered longitudinal binary data with incomplete covariates

Many analyses for incomplete longitudinal data are directed to examining the impact of covariates on the marginal mean responses. We consider the setting in which longitudinal responses are collected from individuals nested within clusters. We discuss methods for assessing covariate effects on the mean and association parameters when covariates are incompletely observed. Weighted first and second order estimating equations are constructed to obtain consistent estimates of mean and association parameters when covariates are missing at random. Empirical studies demonstrate that estimators from the proposed method have negligible finite sample biases in moderate samples. An application to the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) demonstrates the utility of the proposed method.     

空间不均匀的Boltzmann方程的稳定性

摘要：Boltzmann方程是描述稀薄气体变化规律的重要微分方程之一,如果方程的初始状态是真空附近的一个扰动,并且在无穷远处以幂指数形式快速收敛到零,同时分析了空间不均匀的Boltzmann方程的稳定性。为了得到该方程的稳定性,首先引入了几个非线性泛函并时它们作适当的估计,然后利用Gronwall不等式证明空间不均匀的Bohzmann方程的稳定性。     

具有多重势的分数阶非线性Schrodinger方程解的适定性

讨论了具有多重势的分数阶非线性Schrodinger方程的周期边值问题,利用能量估计和Faedo—Galerkin方法证明了该问题光滑解的整体存在唯一性