差异性、相似性和受教育背景对高层管理团队影响的国外研究综述

高层管理团队成员组成的差异性、相似性及其成员的受教育背景以不同的方式影响着它的绩效。国外关于这些特征对高层管理团队绩效的影响已经作了大量的研究,而国内目前尚没有相关研究。本文综述国外关于高层管理团队成员组成的差异性、相似性及其成员的受教育背景对其绩效的影响的相关研究和结论。     

教育政策的利益分析——以择校问题为例

利益是公共政策分析的基本范畴,实现公共利益是教育政策制定最重要的目标。教育政策的利益分析包括利益主体分析、利益需求分析、利益实现方式分析以及利益结果分析四个方面。从利益分析的角度来看,择校问题实际上是由于优质教育资源供需矛盾而导致的,其中教育资源分配不均衡是根本原因。择校代表了一种个人的基本权利,体现的是个人利益。通过改革不合理的教育供给方式、增加教育服务供给,是治理择校问题、平衡公共利益和私人利益的有效途径。     

基于累积前景理论的多资产投资组合优化与实证研究

基于CPT视角的多风险资产投资组合模型,探讨投资者面对不同投资风险时的心理变化以及心理变化对其投资策略的影响。通过选取不同超额收益率及波动率水平的股票,测试投资策略对于风险态度指标的敏感度。研究表明,投资者面对不同风险具有明显地心理变化,并且其心理变化对投资策略具有显著的影响。具体表现在几个方面：投资者面对不确定收益时,表现出风险厌恶,面对不确定损失时,表现出风险偏好;投资者将无风险资产的投资收益作为心理参考点,所做的投资决策与相对于此参考点的相对财富水平的变化有关,而不是与传统理论中的绝对财富变化量相关。     

企业用户云服务技术选择行为

如何选择最佳云服务方案,是企业决定采纳云服务之后所面临的一个重要决策。为了解决云服务技术选择问题,从业务流程的视角出发,以模块化系统理论为基础,提出一个流程模块化、IT可拆解性及安全风险如何影响云服务技术选择的研究模型。采用问卷调查和计量经济学的普通最小二乘法OLS进行实证分析。研究结果表明:流程模块化和IT可拆解性对云服务技术选择的抽象程度有显著的正向影响,即流程模块化程度IT可拆解性越高的企业,越倾向于选择抽象程度高的云服务,如软件即服务SaaS;而流程模块化程度和IT可拆解性越低的企业,越倾向于选择抽象程度低的云服务,如基础设施即服务IaaS。同时,安全风险会正向调节流程模块化和IT可拆解性对云服务技术选择的抽象程度的影响。     

高新技术创新的文化路径及政策选择

相对一般的技术创新，高新技术创新有其独有的一些特点，这些特点决定了文化对高新技术创新具有重要作用。高新技术创新的文化路径包括观念文化路径、制度文化路径和行动文化路径三个方面。基于文化视角优化高新技术创新的政策选择，完善我国科技政策，有助于推动高新技术的进一步创新。     

A likelihood ratio test to discriminate exponential–Poisson and gamma distributions

The exponential–Poisson (EP) distribution with scale and shape parameters β>0 and λ∈?, respectively, is a lifetime distribution obtained by mixing exponential and zero-truncated Poisson models. The EP distribution has been a good alternative to the gamma distribution for modelling lifetime, reliability and time intervals of successive natural disasters. Both EP and gamma distributions have some similarities and properties in common, for example, their densities may be strictly decreasing or unimodal, and their hazard rate functions may be decreasing, increasing or constant depending on their shape parameters. On the other hand, the EP distribution has several interesting applications based on stochastic representations involving maximum and minimum of iid exponential variables (with random sample size) which make it of distinguishable scientific importance from the gamma distribution. Given the similarities and different scientific relevance between these models, one question of interest is how to discriminate them. With this in mind, we propose a likelihood ratio test based on Cox's statistic to discriminate the EP and gamma distributions. The asymptotic distribution of the normalized logarithm of the ratio of the maximized likelihoods under two null hypotheses – data come from EP or gamma distributions – is provided. With this, we obtain the probabilities of correct selection. Hence, we propose to choose the model that maximizes the probability of correct selection (PCS). We also determinate the minimum sample size required to discriminate the EP and gamma distributions when the PCS and a given tolerance level based on some distance are before stated. A simulation study to evaluate the accuracy of the asymptotic probabilities of correct selection is also presented. The paper is motivated by two applications to real data sets.     

高职班主任队伍建设现状与对策

在广泛调研的基础上,对高职班主任队伍建设现状进行了分析,认为目前高职班主任队伍结构整体趋向合理、制度基本健全,但班主任工作职责不够明确,理论素养尚显不足,激励机制亟待完善。针对这些制约班主任工作开展的瓶颈因素,必须采取相应对策。     

Quadratic Approximation via the SCAD Penalty with a Diverging Number of Parameters

The high-dimensional data arises in diverse fields of sciences, engineering and humanities. Variable selection plays an important role in dealing with high dimensional statistical modelling. In this article, we study the variable selection of quadratic approximation via the smoothly clipped absolute deviation (SCAD) penalty with a diverging number of parameters. We provide a unified method to select variables and estimate parameters for various of high dimensional models. Under appropriate conditions and with a proper regularization parameter, we show that the estimator has consistency and sparsity, and the estimators of nonzero coefficients enjoy the asymptotic normality as they would have if the zero coefficients were known in advance. In addition, under some mild conditions, we can obtain the global solution of the penalized objective function with the SCAD penalty. Numerical studies and a real data analysis are carried out to confirm the performance of the proposed method.     

以学生为中心,加强系列课程教学团队建设——以合肥工业大学为例

高水平的教学团队建设是教育部本科教学质量与教学改革工程的重要内容之一。文章主要介绍信号检测、处理及实现系列课程教学团队建设思路,以学生为中心,注重学习产出,将课堂教学、创新实践和科学研究有机结合,建立健全的运行机制,使之在教学改革中发挥积极有效的作用,促进团队成员的综合素质的提高,保证人才培养的质量。