加快(工程)应用型本科教育发展的一些思考

文章阐述了(工程)应用型本科教育的内涵及定位,分析了新建应用型本科院校发展所面临的问题,提出了加快应用型本科教育发展的途径和措施。     

积极财政政策的全要素生产率增长效应

利用时变参数模型和面板数据模型,可以对积极财政政策的全要素生产率增长效应进行分析。分析表明,1998年以来我国实施的积极财政政策对全国经济全要素生产率增长、省份经济全要素生产率增长和技术进步具有较强的促进作用,但对省份经济效率提高却具有明显的抑制作用。总体上说,积极财政政策对我国经济增长质量的提高起到了重要的促进作用,但在具体实施的过程中,还存在着诸如支出结构不尽合理、过分强调数量而忽视使用效率等不足之处。     

区域主导产业选择的指标与实证分析——以辽宁为例

为了定量分析选择区域主导产业,选取了区位商、就业区位商、感应度系数、影响力系数、需求收入弹性、技术进步速度、资金利用率、全员劳动生产率、能源产值消耗率、三废治理系数、分行业职工平均工资、在岗职工工资增长率等12个定量分析指标,利用统计分析方法,对辽宁主导产业的选择进行因子分析,计算出辽宁主导产业选择的5个主要因子和因子得分函数,依据因子得分函数和各因子的方差贡献率计算出39个行业部门的综合得分,并结合定性分析,从中选择8个产业部门作为辽宁的主导产业。研究结果对辽宁主导产业的选择具有指导意义。     

中国环境社会学十年回眸

中国环境社会学已有近30年的发展历史。经过20世纪八九十年代的积累,中国环境社会学在21世纪前10年里在学科定位、学术成果、组织建设等方面都取得了较大进展。学科定位表现在对研究方法和研究领域等方面的进展。学术成果突出表现在环境污染的社会成因分析、城乡居民的环境意识和受害者的环境抗争领域。组织建设体现在3家较为稳定的学术机构、3次大型学术会议、频繁的国际交流和可观的人才培养。今后的中国环境社会学将会有更广阔的发展空间。     

基于信息度量的企业组织系统协同性评价

提出组织协同性一些新的概念和理论;建立了评价组织协同性指标体系;定义了企业组织系统固有协同性、应变协同性、管理层次、管理跨度、关系集合结构、关系水平、协同跨度、协同轨迹、协同机制、协同方式、协同职能幅度、职能凝聚度、协同效率等协同性参量.同时应用管理熵理论的基本原理,拓展了复杂性理论结构学派的研究方法应用于组织系统协同性运行度量尺度建模、量化评价、理论方法研究,从协同结构、协同方式和协同功能等多维度建立协同性熵信息评价数学模型,给出适应于非同维度协同问题求解的降维方法,并结合企业协同管理活动进行了应用与实证研究.     

Smoothed ranks for two or multi-sample location problems

Smoothed ranks are proposed for two or multi-sample location problems. The regular ranks in Wilcoxon's two sample test are replaced with smoothed ranks, and the shift parameter is estimated. Asymptotic properties of the smoothed rank estimator are shown and a hypothesis test is proposed. Moreover, the smoothed ranks are applied in the Kruskal–Wallis's r-sample test and the power of the test is computed using regular and smoothed ranks. Examples and Monte Carlo simulations show that the smoothed ranks perform similarly to the traditional rank based estimators under contaminated normal or non-normal populations.     

幼儿园教师的角色定位: 建构主义教学理论视角

教师角色是教师开展教育教学活动的本质体现。传统教学中幼儿园教师的教导者、训练者、传输者、管控者等角色,已经不适应我国正大力发展学前教育的趋势。基于建构主义教学理论的观点,能够为幼儿园教师的角色定位提供新的典范。教师是教学活动情境的创设者,互动交往中的对话者,活动过程中的关注者和回应者,适时的支持者和引导者,问题的设计者和探索者,公共关系的调节者,研究者及理论的建构者。     

Loss functions in restricted parameter spaces and their Bayesian applications

ABSTRACT

Squared error loss remains the most commonly used loss function for constructing a Bayes estimator of the parameter of interest. However, it can lead to suboptimal solutions when a parameter is defined on a restricted space. It can also be an inappropriate choice in the context when an extreme overestimation and/or underestimation results in severe consequences and a more conservative estimator is preferred. We advocate a class of loss functions for parameters defined on restricted spaces which infinitely penalize boundary decisions like the squared error loss does on the real line. We also recall several properties of loss functions such as symmetry, convexity and invariance. We propose generalizations of the squared error loss function for parameters defined on the positive real line and on an interval. We provide explicit solutions for corresponding Bayes estimators and discuss multivariate extensions. Four well-known Bayesian estimation problems are used to demonstrate inferential benefits the novel Bayes estimators can provide in the context of restricted estimation.     

店铺形象和店铺位置在O2O环境中还重要吗？

O2O模式，因为其能够通过渠道间的整合充分发挥线上和线下渠道各自的优势，为企业带来更高的利润和客户保留率，而受到很多企业的追捧。而渠道整合的过程中店铺形象、店铺位置是否还会发挥作用等问题还没有明确的答案。本研究应用网络数据爬虫和问卷调查的方法，收集了北京市西城区、朝阳区、海淀区、东城区的148家开展了在线外卖服务的餐馆数据，利用Smart PLS2.0对数据分析后发现，在O2O环境中，店铺形象尤其是线上店铺形象对渠道整合、企业绩效都发挥着重要的作用，而店铺位置是调节渠道整合的一个重要因素。这些研究发现不仅增加了我们对渠道整合环境中店铺形象、线下店铺位置作用的认识和理解，对开展O2O业务的企业也有着重要的借鉴和参考价值。     

A Conway Maxwell Poisson type generalization of the negative hypergeometric distribution

Abstract

Negative hypergeometric distribution arises as a waiting time distribution when we sample without replacement from a finite population. It has applications in many areas such as inspection sampling and estimation of wildlife populations. However, as is well known, the negative hypergeometric distribution is over-dispersed in the sense that its variance is greater than the mean. To make it more flexible and versatile, we propose a modified version of negative hypergeometric distribution called COM-Negative Hypergeometric distribution (COM-NH) by introducing a shape parameter as in the COM-Poisson and COMP-Binomial distributions. It is shown that under some limiting conditions, COM-NH approaches to a distribution that we call the COM-Negative binomial (COMP-NB), which in turn, approaches to the COM Poisson distribution. For the proposed model, we investigate the dispersion characteristics and shape of the probability mass function for different combinations of parameters. We also develop statistical inference for this model including parameter estimation and hypothesis tests. In particular, we investigate some properties such as bias, MSE, and coverage probabilities of the maximum likelihood estimators for its parameters by Monte Carlo simulation and likelihood ratio test to assess shape parameter of the underlying model. We present illustrative data to provide discussion.