试论中国清真食品VI视觉识别系统之构建

VI视觉识别系统是现代企业发展中的经营管理策略,已成为我国企业管理中的新兴领域,正在逐步形成应用性很强、使用范围甚广、形式各样的一套可操作的方法与技巧。把VI概念引入清真食品的整合与管理中,对于树立清真食品形象、保护清真食品权益都是有益的。     

样本选择模型截距项的半参数估计及应用———户籍工资差异分解研究

样本选择模型是解决样本选择问题的主要工具,广泛应用于工资差异分解、平均处理效应测算等实证研究。截距项的估计是样本选择模型半参数估计中相对独立且重要的一部分,现有的以无穷处识别为代表的半参数估计方法存在窗宽参数难以选取的问题。为此,本文把无穷处识别等价转化为边界处识别,并基于新的识别关系给出样本选择模型截距项的核估计方法。这种新方法的好处在于将样本选择模型截距项的估计纳入核估计框架中,从而可以采用经验法则解决现有方法的窗宽选取难题。数值模拟结果表明,本文所提出的估计方法在不同设定下均有良好的有限样本表现。把这种新的半参数估计方法应用于户籍工资差异分解后发现,我国劳动力市场目前不存在明显的户籍差别待遇。     

A Latent-Variable Model of Quality Determination

Because of data difficulties, there has been little empirical work analyzing the determination of the quality of a firm's output. This article constructs a latent variable model for this problem that uses easily obtainable data. The model is developed from the relationship between the firm's input demand functions and reduced-form output functions, and it has a novel multiple indicator multiple cause (MIMIC) interpretation. The model also allows identification of an intercept, implying that an index of quality that is comparable across samples can be constructed. As an example, a latent variable model of nursing-home quality is estimated.     

Consumer Search Behavior in the Changing Credit Card Market

Many recent articles have identified behavioral disturbances in vector autoregressions by imposing restrictions on the long-run effects of shocks. This article demonstrates that this approach will be unreliable unless the underlying economy satisfies three types of strong restrictions. Although many aspects of these issues have been raised before, this article draws out and illustrates the implications for inferences under the long-run scheme. Furthermore, it provides strategies for dealing with the problems.     

消费者企业认同感对产品评价及行为意向的影响

消费者对企业的认同是竞争优势的源泉。本文构建了一个消费者企业认同感的形成因素及其结果变量间关系的结构方程模型,并以来自中国家电行业的数据进行了实证分析。结果发现,企业的知名度、消费者对企业的信任程度、企业声誉及社会责任运动对消费者的企业认同感有积极影响效应;消费者对其所认同企业的产品有较高的评价和购买意向,更愿意向他人传播有利于企业的信息,对于不利的信息则有较高的回避或抵触意向。     

基于SVM的建设项目风险识别方法研究

支持向量机(SVM)是在统计学习理论的基础上发展起来的一种新的机器学习方法。它基于结构风险最小化原则,能有效地解决过学习问题,具有良好的推广性和分类精确性。在项目风险管理中,风险识别是很重要的一个步骤,如果风险不能被识别,那么我们就不能对风险进行转移、控制或管理。针对该问题,本文提出了一种新的风险识别方法-支持向量机,利用该方法对项目风险识别进行了研究,并取得了很好的识别效果。     

Selection criteria for the construction of efficient diagnostic keys

A diagnostic key defines a hierarchial sequence of tests used to identify a specimen from a set of known taxa. The usual measure of the efficiency of a key, the expected number of tests per identification, may not be appropriate when the responses to tests are not known for all taxon/test pairs. An alternative measure is derived and it is shown that the test selected for use at each point in the sequence should depend on which measure is used. Two suggestions of Gower and Payne (1975), regarding test selection, are shown to be appropriate only to the new measure. Tests are usually selected by calculating the value of some selection criterion function. Functions are reviewed for use in each of the two situations, and new functions are derived. The functions discussed are shown to be interpretable in terms of the number of tests required to complete the key from the current point in the sequence, given that a particular test is selected. This interpretation enables the functions to be extended to select tests with different costs and allows recommendations to be made as to which function to use, depending on how many ‘good’ tests are available.     

Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form

In this article we study two methodologies which identify and specify canonical form VARMA models. The two methodologies are: (1) an extension of the scalar component methodology which specifies canonical VARMA models by identifying scalar components through canonical correlations analysis; and (2) the Echelon form methodology, which specifies canonical VARMA models through the estimation of Kronecker indices. We compare the actual forms and the methodologies on three levels. Firstly, we present a theoretical comparison. Secondly, we present a Monte Carlo simulation study that compares the performances of the two methodologies in identifying some pre-specified data generating processes. Lastly, we compare the out-of-sample forecast performance of the two forms when models are fitted to real macroeconomic data.     

“慕课”变革与高校思想政治理论课意义体认教学

"慕课"作为全球教育发展的当代创新,中国很多高校都以积极态度回应并推动"慕课"的应用和发展,"慕课"引领着中国当代教育变革的新潮流。高校思想政治理论课必须有效应对"慕课"所带来的冲击和挑战,创新"意义体认"教学模式,利用"慕课"平台增强思想政治理论课的有效性和实效性,确保中国的意识形态安全。