Fairness and commitment to change in M&As: The mediating role of organizational identification

This paper examines the determinants of employees' affective commitment to change in the context of M&As. Based on the group engagement model (Tyler & Blader, 2000, 2003), we predicted that organizational identification with the newly formed organization mediates the positive impact of employees’ overall justice judgments and perceived change favorableness on affective commitment to change. We tested our predictions using data collected during an international merger. After controlling for country effects, results support our hypotheses. Implications for research and practice alike are discussed.     

现代社会与教育的思维模式探析

构成现代社会的各个领域和因素综合交错，形成了现代社会因素的立体网络系统，其中，科技与教育是促进社会进步与发展的巨大力量；科技日益成为现代社会发展的重要手段，也形成了现代教育的基本特色。现代社会要求我们在立体互动关系中确立一种合理、有效的思维模式，表现在教育领域，便是要确立开放的教育思维模式；它是由现代社会和现代科技的开放性特征所决定的，也是现代社会的开放思维模式的具体体现。     

航空客运收益管理的结构模型

本文分析了收益管理决策目标的组成要素以及内外主要因素;讨论了容量、价格和销售数量三个决策变量与市场需求要素之间的关系;具体地提出了达到收益管理目标可以采用的两条降低成本的途径和五种提高收入的基本方式;从系统的角度提出了集成性收益管理决策的结构模型。     

基于Shapley值法的移动增值服务价值链利润分配模型

研究对象为任意节点连接和任意支撑的平面框架。一般梁单元由等截面直杆及其杆端的轴向弹簧、切向弹簧和转动弹簧组成，推导得到此类单元的刚度矩阵、单元在8种基本荷载作用下的等效节点荷载。采用Matlab语言编写了适用于一般节点非线性连接框架的静力分析程序，非线性形式为指数函数或多项式函数，可以得到结构不同连接刚度下的节点位移、杆端位移和杆端力。算例显示出节点柔度对结构受力和变形的影响。     

Identification of arma models with non-gaussian innovations

The problem of modelling time series driven by non-Gaussian innovation has been considered recently by Li and McLeod (1988). In this paper we have discussed the problem of identification of ARMA models with non-Gaussian innovations. Simulation experiments are used to study the applicability of theoretical results.     

Nonparametric estimation of a change point in positive shift models

Six nonparametric estimators of the change point are compared via Monte Carlo simulation in positive shift models of widely different taillengths. It is found that the best estimator in terms of smallest mean-squared error depends on the taillength of the underlying distribution. Overall, an estimator of Lombard (1987) based on a Wilcoxon scores rank statistic is recommended.     

A Measure of partial association between disease and genotype for the two-parent problem

The two-parent disease-genotype association problem is studied from the point of view of a coefficient of association between the disease phenotype of the child and the disease phenotypes of the parents, in the presence of some genotypic information about the parents. This coefficient of partial association is derived, and certain tests of hypotheses are constructed. The results are shown to be useful in estimation of recurrence risks, and in understanding the nature of the association between child and parental disease phenotypes.     

CreditRisk+模型采用Poisson分布所产生的经济资本计量误差分析

本文对CreditRisk+模型采用Poisson分布近似债务人违约事件分布这一关键步骤进行系统研究。首先分析了Poisson分布在CreditRisk+模型中的作用,并从理论上证明了采用Poisson分布作为债务人违约事件分布的近似,会导致CreditRisk+模型计算出来的经济资本高估贷款组合的实际风险水平;然后以债务人违约事件服从两点分布并采用蒙特卡罗模拟计算出来的经济资本为参照值,对债务人违约概率的大小与这一近似所引起的经济资本计量误差率进行了敏感性试验,发现为将这一近似所引起的误差率控制在10%的范围内,债务人违约概率的取值不应超过0.2。     

Empirical Likelihood for Single-Index Regression Models under Negatively Associated Errors

In this article, we use bockwise empirical likelihood technique to construct confidence regions for the parameter of the single-index models under negatively associated errors. It is shown that the blockwise empirical likelihood ratio statistic for the parameter of interest is asymptotically χ²-type distributed. The result can be used to obtain confidence regions for the parameter of interest.     

Testing for lack of fit in linear multiresponse models based on exact or near replicates

Three procedures for testing the adequacy of a proposed linear multiresponse regression model against unspecified general alternatives are considered. The model has an error structure with a matrix normal distribution which allows the vector of responses for a particular run to have an unknown covariance matrix while the responses for different runs are uncorrelated. Furthermore, each response variable may be modeled by a separate design matrix. Multivariate statistics corresponding to the classical univariate lack of fit and pure error sums of squares are defined and used to determine the multivariate lack of fit tests. A simulation study was performed to compare the power functions of the test procedures in the case of replication. Generalizations of the tests for the case in which there are no independent replicates on all responses are also presented.