Estimation on Varying-Coefficient Partially Linear Model With Different Smoothing Variables

The authors give the estimation on the varying-coefficient partially linear regression model with different smoothing variables. The efficient estimators of the intercept function and the coefficient functions are obtained by a one-step back-fitting technique based on their initial estimators given by local linear technique and the averaged method. Furthermore, their asymptotic normalities are given. Some simulation studies are used to illustrate the performances of the estimation.     

A modified subset selection formulation with special reference to one-way and two-way layout experiments

The usual formulation of subset selection due to Gupta (1956) requires a minimum guaranteed probability of a correct selection. The modified formulation of the present paper includes an additional requirement that the expected number of the nonbest populations be bounded above by a specified constant when the best and the next best populations are ‘sufficiently’ apart. A class of procedures is defined and the determination of the minimum sample size required is discussed. The specific problems discussed for normal populations include selection in terms of means and variances, and selection in terms of treatment effects in a two-way layout.     

Majorization minimization by coordinate descent for concave penalized generalized linear models

Recent studies have demonstrated theoretical attractiveness of a class of concave penalties in variable selection, including the smoothly clipped absolute deviation and minimax concave penalties. The computation of the concave penalized solutions in high-dimensional models, however, is a difficult task. We propose a majorization minimization by coordinate descent (MMCD) algorithm for computing the concave penalized solutions in generalized linear models. In contrast to the existing algorithms that use local quadratic or local linear approximation to the penalty function, the MMCD seeks to majorize the negative log-likelihood by a quadratic loss, but does not use any approximation to the penalty. This strategy makes it possible to avoid the computation of a scaling factor in each update of the solutions, which improves the efficiency of coordinate descent. Under certain regularity conditions, we establish theoretical convergence property of the MMCD. We implement this algorithm for a penalized logistic regression model using the SCAD and MCP penalties. Simulation studies and a data example demonstrate that the MMCD works sufficiently fast for the penalized logistic regression in high-dimensional settings where the number of covariates is much larger than the sample size.     

高职《财经写作》课程项目教学体系研究

转变高职教育传统的教学模式是一项重要的、具有创新意义的工作。建构主义学习理论、情境学习理论和杜威的实用主义教育理论成为构建高职财经写作课程项目教学新体系的理论依据。该课程项目教学新体系强调：以企业实际工作为行动导向，以具体情境为教学项目，以学生为主体组织教学活动，以多样化的解决问题的方法拓展学生思路，真正做到“学中做、做中用、用中学”。     

抗战时期贵阳的社会舆论表达

抗战时期,贵阳传统的公共空间因为不适应抗战的大形势开始发生变化,首先作出反应的是贵阳公共空间中的社会关系。这主要表现为社会流动的加快、社会功能的变化、城市社会结构的转型、贵阳城市空间结构的转换等。与此同时,贵阳社会各界关于抗战社会舆论的表达找到了合适的路径,如筹建相关社会组织和社会团体,在报刊发表抗战舆论,组织相关的社会活动如戏剧、音乐和书画展等,宣传抗战,动员民众参加抗日。     

信息系统成本与效益评估方法分析

介绍了信息系统成本与效益评估的几种方法,并且分别讨论了这些方法的优缺点,为投资方在投资信息系统项目时提供有效的参考依据.     

中国上市公司终极控制权及其与东亚、西欧上市公司的比较分析

本文运用终极产权论对上市公司的控股主体进行分类,通过追踪上市公司终极控制股东,发现在1260家样本公司中,终极控制股东拥有的控制权平均为43.67%,而其投入的现金流平均只有39.33%,就是说控制股东投入的现金流显著小于其获得的控制权,有4.34%的差异,两者的比值为0.890。在三种终极控制股东中,家族企业投入了相对较少的现金流量,却取得了相对较多的控制权,控制权和现金流量权的偏离达到了49.16%。同时,通过对中国上市公司和东亚、西欧国家的上市公司进行比较分析,得出了许多有意义的结论。     

论饭店企业品牌忠诚的创建

在当前的竞争形势下,饭店企业要想增加市场占有率非常困难。饭店有必要由追求市场占有率的扩大转向追求良好顾客关系的保持。本文在分析品牌忠诚对饭店企业的重要性以及品牌忠诚的决定因素的基础上,探讨了饭店企业创建品牌忠诚的策略。     

缩短供应链多阶响应周期的物流模式研究

为了满足最终客户的多样化、及时化的需求,供应链的物流模式成了缩短供应链多阶响应周期的一个重要的研究领域。对比传统的物流模式,快速响应的供应链物流模式的主要改进点在制造商及其以下的节点企业的物流上。四种物流模式对于缩短供应链最终用户的响应周期有极大的意义和作用,它们是:基于制造商的直销模式、以批发商为改进点的零售支持型批发物流和区域零售支持型综合批发物流,以及以零售商为切入点的产销联盟的物流模式,并且它们各自不同的适用范围取决于供应链的运作特点和行业特征。     

论自由思想发展的历史轨迹

自由既是哲学范畴，也是人在实践中不懈追求的崇高主题和最高价值。几千年的文明史留下了哲学家们探索自由的足迹。他们的思想理论既有合理成份也有片面性。马克思主义对哲学史上关于自由的全部思想成果进行了积极的扬弃，以实践为基础建立了科学的自由现。今天我们追寻自由思想发展的历史轨迹，对于继续探究这个比较复杂和敏感、又具有重大理论和实践意义的前沿问题，无疑是有着积极意义的。