Bayesian testing of restrictions on vector autoregressive models

In this study, we propose a prior on restricted Vector Autoregressive (VAR) models. The prior setting permits efficient Markov Chain Monte Carlo (MCMC) sampling from the posterior of the VAR parameters and estimation of the Bayes factor. Numerical simulations show that when the sample size is small, the Bayes factor is more effective in selecting the correct model than the commonly used Schwarz criterion. We conduct Bayesian hypothesis testing of VAR models on the macroeconomic, state-, and sector-specific effects of employment growth.     

使用PC1D 5.9模拟高效单晶硅太阳能电池

介绍了使用PC1D 5.9软件模拟高效单晶硅太阳能电池的方法。通过建立太阳能电池的结构模型和参数模型,在模拟的电池测试环境下,仿真得到太阳能电池的电压-电流曲线和量子效率曲线,并根据太阳能电池的理论,计算填充因子和转换效率的值。     

Influence in covariance structure analysis: with an application to confirmatory factor analysis

Influence functions are derived for the parameters in covariance structure analysis, where the parameters are estimated by minimizing a discrepancy function between the assumed covariance matrix and the sample covariance matrix. The case of confirmatory factor analysis is studied precisely with a numerical example. Comparing with a general procedure called one-step estimation, the proposed procedure has two advantages:1) computing cost is cheaper, 2) the property that arbitrary influence can be decomposed into a fi-nite number of components discussed by Tanaka and Castano-Tostado(1990) can be used for efficient computing and the characterization of a covariance structure model from the sensitivity perspective. A numerical comparison is made among the confirmatory factor analysis and some procedures of ex-ploratory factor analysis by using the decomposition mentioned above.     

Computational algorithms for the factor model

Algorithms for computing the maximum likelihood estimators and the estimated covariance matrix of the estimators of the factor model are derived. The algorithms are particularly suitable for large matrices and for samples that give zero estimates of some error variances. A method of constructing estimators for reduced models is presented. The algorithms can also be used for the multivariate errors-in-variables model with known error covariance matrix.     

Key success factors when implementing a green-manufacturing system

This study proposes a three-layer assessment model to evaluate the performance of a green-manufacturing system (GMS) and identify the key success factors of its real-world implementation. The top layer of the model includes three dimensions – green design, green-manufacturing process and green packaging. The second and third layers include ten strategic subjects and 74 assessment factors, respectively. The weights in each layer are collected via a questionnaire and calculated using the analytical network process (ANP). Based on the ANP, the five key success factors for implementing the GMS in a company are proportion of non-toxic materials, compliance with eco-ordinances, proportion of biodegradable materials, environmental pollution per product and extent of process pollution. The practicality of the proposed model is demonstrated by evaluating three companies that produce similar products and share similar business models. The proposed model provides a valuable reference for real-world implementation of the GMS.     

区间型符号数据的因子分析及其应用

符号数据分析是一种新兴的数据挖掘技术,区间数是最常用的一种符号数据。基于误差分析理论,研究针对区间数据的因子分析方法。将区间数看作一个由中点和半径构成的有序偶,并将半径视为区间数的极限误差。对中点样本阵进行因子分析,得到因子得分的中点值。然后将半径样本阵按照误差传递公式,得到因子得分的极限误差。由因子得分的中点值和极限误差最终得到因子得分的区间值。最后以股票的市场综合表现评价问题为案例,进行了应用研究。     

Generic charisma - Conceptualization and measurement

In these times, when fame is available to almost anyone, it is worth being able to measure the extent and dimensions of a person's charisma. Most of the research on charisma to date is restricted to the area of leadership. In this article, however, charisma is generalized to take in all human beings and is conceptualized as a multi-dimensional cognitive-affective phenomenon. The article presents a pilot study aimed at providing an adequate operational definition of the construct as well as an initial tool for its measurement. A following literature review shows how authors have developed the concept of charisma and its initial operational dimensions for empirical research. A questionnaire is developed in three stages. The factor analyses applied in stages two and three point towards a six-factor solution (i.e. six dimensions of charisma). Further analysis reveals that the developed instrument is reliable and viable as well as applicable for future theoretical and practical work.     

石油企业自主创新联盟的影响因素分析

资源及能力的有限性使得企业在自主创新过程中将面临巨大的风险,而自主创新联盟有助于企业通过知识、技术等资源的互补实现关键技术的突破,以达到共赢。故以石油企业为例,在定性分析的基础上,提出影响石油企业自主创新联盟的主要因素,通过因子分析及信度检验,认为利益、风险、伙伴关系、行业环境及潜在能力是影响石油企业自主创新联盟的主要因素。     

跨国并购与我国企业技术进步的相关性分析

近年来，跨国并购逐渐成为我国企业国际化发展以及构建核心竞争能力的重要途径，而跨国并购能否对我国企业的技术进步起到积极的作用则成为理论研究的热点问题。针对此，采用全要素指标体系，分析了1991~2007年全要素增长率与跨国并购增长率之间的关系，认为:跨国并购的变化对技术进步具有一定的影响关系，但是由于技术并购在对外投资中的比重偏低，过分重视了技术的引进，忽视了技术的吸收消化过程等因素的影响，因此这种影响的效果并不显著。     

Deconstructing maternal sensitivity: Predictive relations to mother‐child attachment in home and laboratory settings

Despite the well‐documented importance of parental sensitivity for child development, there is a lack of consensus regarding how best to assess it. We investigated the factor structure of maternal caregiving behavior as assessed at 12 months by the Maternal Behavior Q‐Sort (Pederson & Moran) with 274 mother‐infant dyads. Subsequently, we examined associations between these empirically‐derived dimensions and child attachment, assessed in the home and laboratory (final N = 157). Three dimensions of maternal behavior were identified, corresponding fairly closely to Ainsworth's original scales. They were labeled Cooperation/Attunement, Positivity, and Accessibility/Availability. Only Cooperation/Attunement consistently predicted home‐based attachment at 15 months and 2 years, and at comparable strength to the overall sensitivity score, suggesting that this construct may be central to sensitivity. At 18 months, compared to their primarily secure counterparts, different types of laboratory‐assessed insecure attachment were associated with different patterns of maternal behavior. Mothers in avoidant relationships (n = 18) were low on Cooperation/Attunement and Accessibility/Availability, but fairly high on Positivity. Mothers of disorganized infants (n = 11) were Cooperative/Attuned but somewhat less Positive toward, and less Accessible/Available to, their infants. A multidimensional approach to parental behavior may facilitate the identification of parenting precursors of insecure parent‐child relationships.