冲突视角下运输订单商业竞争战略研究

运用图模型理论研究冲突视角下中欧班列运营过程中运输订单商业竞争战略,构建“渝新欧”班列运营商、“苏满欧”班列运营商和昆山IT企业之间的商业竞争冲突模型。利用TOPSIS法评估班列的运输效率,确定决策者偏好,通过计算均衡解获得符合各决策者利益的理性对策。借助灵敏度分析研究决策者偏好改变对模型冲突结果的影响。研究表明:在竞争中,运输效率较低的一方可以通过降低价格弥补自身劣势而获得订单;运输效率较高的一方只有通过降价才能获得订单。该研究为班列运营商提供利益冲突中的商业竞争战略,能为顾客企业选择高效合理的运输线路提供有效的战略决策,同时亦能为宏观调控者规范市场、提高市场运输效率提供有效的政策启示。     

边疆民族地区小学教师校本培训评估

借鉴柯氏四级评估法的评价指标,运用问卷调查法和访谈法实地调研了边疆民族地区小学教师及学校管理者,从参训教师及学校管理者的不同视角对校本培训的反应层、学习层、行为层、结果层四个层级来评价培训的实施成效。评估结果显示,边疆民族地区小学教师校本培训的改进方向是确定教师培训需求、优化培训内容以及维持受训教师行为水平。     

Testing Inference in Inflated Beta Regressions under Model Misspecification

We consider testing inference in inflated beta regressions subject to model misspecification. In particular, quasi-z tests based on sandwich covariance matrix estimators are described and their finite sample behavior is investigated via Monte Carlo simulations. The numerical evidence shows that quasi-z testing inference can be considerably more accurate than inference made through the usual z tests, especially when there is model misspecification. Interval estimation is also considered. We also present an empirical application that uses real (not simulated) data.     

休谟与启蒙运动——基于《人性论》引言的思想史考察

当前对休谟的研究常把他和启蒙运动相隔裂.通过对休谟代表性著作《人性论》引言的分析,可以发现他和法国启蒙思想家共享认识世界的“力学模式”和实验方法,都试图将当时在英格兰兴起的“自然哲学”应用于人类境况,都致力于用对人类生活有用的经验研究所产生的新理论代替传统形而上学.同时,休谟对经验主义方法自身的局限有着更为健全的认识,主张在经验和可观察现象范围内的实验方法.这一认识在我们反思启蒙时极富价值.     

财务共享服务与企业竞争力的关系——基于双重差分模型的实证检验

从分析财务共享服务效果的视角出发，以市场结构、基础资源和新能力理论为依据，建立了评价企业竞争力的财务指标体系。研究结果显示：在市场地位方面，实施财务共享服务增强了企业资金管控效果，使营业收入质量提高，但是营业收入增长率却呈现负增长，说明财务共享服务对市场拓展能力的影响具有延迟效应；在资金资源方面，财务共享服务提高了企业的资金筹措能力和偿债能力，风险控制能力增强，使企业获得资金资源竞争优势；在企业能力方面，财务共享服务能够降低成本、增加绩效，更好地服务企业战略，提升企业的盈利能力和创新能力。总之，实施财务共享服务能够促使企业财务管理转型升级，为未来发展赢得先机，可增强企业竞争力。     

基于超总体模型的设计效应分解

本文基于超总体模型研究抽样调查中设计效应的计算问题。首先以随机效应模型为基础，明确了简单随机、二阶段、不等概率和分层抽样对应的超总体模型，进而通过所给模型推导出分层、类集、加权单因素设计效应的计算公式和多因素组合的设计效应计算公式并给出了对应估计量，公式表明：多因素同时存在的组合设计效应等于对应单因素设计效应的乘积。最后，对设计效应的理论值、估计值和真实值之间的关系进行了蒙特卡洛仿真，并利用相对偏倚、相对均方误进行了评价。本文的研究，对复杂抽样设计中正确计算、使用设计效应具有指导意义。     

A Method to Handle Zero Counts in the Multinomial Model

In the context of an objective Bayesian approach to the multinomial model, Dirichlet(a, …, a) priors with a < 1 have previously been shown to be inadequate in the presence of zero counts, suggesting that the uniform prior (a = 1) is the preferred candidate. In the presence of many zero counts, however, this prior may not be satisfactory either. A model selection approach is proposed, allowing for the possibility of zero parameters corresponding to zero count categories. This approach results in a posterior mixture of Dirichlet distributions and marginal mixtures of beta distributions, which seem to avoid the problems that potentially result from the various proposed Dirichlet priors, in particular in the context of extreme data with zero counts.     

Bayesian Estimation and Model Choice in Item Response Models

Item response models are essential tools for analyzing results from many educational and psychological tests. Such models are used to quantify the probability of correct response as a function of unobserved examinee ability and other parameters explaining the difficulty and the discriminatory power of the questions in the test. Some of these models also incorporate a threshold parameter for the probability of the correct response to account for the effect of guessing the correct answer in multiple choice type tests. In this article we consider fitting of such models using the Gibbs sampler. A data augmentation method to analyze a normal-ogive model incorporating a threshold guessing parameter is introduced and compared with a Metropolis-Hastings sampling method. The proposed method is an order of magnitude more efficient than the existing method. Another objective of this paper is to develop Bayesian model choice techniques for model discrimination. A predictive approach based on a variant of the Bayes factor is used and compared with another decision theoretic method which minimizes an expected loss function on the predictive space. A classical model choice technique based on a modified likelihood ratio test statistic is shown as one component of the second criterion. As a consequence the Bayesian methods proposed in this paper are contrasted with the classical approach based on the likelihood ratio test. Several examples are given to illustrate the methods.     

对我国高校社会工作专业人才培养的思考

2011年11月,中组部等18个部门和组织联合发布《关于加强社会工作专业人才队伍建设的意见》,充分说明国家对社会工作专业人才的高度重视,同时也进一步体现经济社会发展对社会工作专业人才的迫切需求。因此,高质量社会工作专业人才的培养已经成为高等学校的重大课题,本文从人才培养目标定位、服务面向、培养模式构建等三个重要方面切入,提出对我国高校社会工作专业人才培养的思考。     

A Comparative Study of Model-based Tests of Independence for Ordinal Data Using the Bootstrap

When analyzing categorical data using loglinear models in sparse contingency tables, asymptotic results may fail. In this paper the empirical properties of three commonly used asymptotic tests of independence, based on the uniform association model for ordinal data, are investigated by means of Monte Carlo simulation. Five different bootstrapped tests of independence are presented and compared to the asymptotic tests. The comparisons are made with respect to both size and power properties of the tests. Results indicate that the asymptotic tests have poor size control. The test based on the estimated association parameter is severely conservative and the two chi-squared tests (Pearson, likelihood-ratio) are both liberal. The bootstrap tests that either use a parametric assumption or are based on non-pivotal test statistics do not perform better than the asymptotic tests in all situations. The bootstrap tests that are based on approximately pivotal statistics provide both adjustment of size and enhancement of power. These tests are therefore recommended for use in situations similar to those included in the simulation study.