农村劳动力转移模型:基于中国制度背景的构造

本文在对经典的农村劳动力流动模型进行理论梳理的基础上,引入中国的制度变量,试图构建适合中国制度背景的农村劳动力转移模型,同时,运用经验事实对其作进一步的实证检验,并分析了模型的政策含义。     

机动平台识别器方位零值的几种标校方法

方位零值标校是识别器设邸统标校的一项重要内容。针对机动平台识别器设备进场安装，提出了几种标校方法，旨在解决机动平台识别器的方位零值标校问题。     

Research on Customer Satisfaction Strategy in China＇s Real Estate Industry

This paper analyzes real estate market condition, studies key influencing factors to customer satisfaction, and presents corresponding customer satisfaction model and effective strategy framework, which are of significance to achieve customer loyalty and get competitive edge for real estate enterprises.     

Intention of Internet-based Customer Involvement in Product Development： A Conceptual Investigation

The paper develops an extension of Technology Acceptance Model （TAM） and puts forward the TAM-VCE conceptual model to explain the intention of intemet-based customer involvement in new product development （NPD）. The findings will help enterprises design Virtual Customer Environments accepted by customer.     

电力商标分析及评估模型的构建

本文分析了电力商标的实质内涵，总结了电力商标的基本特征，在此基础上对商标的评估模型进行了创新构建，新建模型有两大特点：一是将商标收益分割为两部分计量；二是用强度系数进行了调整强化，为电力商标的评估提供一种新思路。     

R&D项目投资评估的实物期权方法初探

本文分析了传统的NPV法在R&D项目投资评估中的缺陷,指出R&D项目投资本质上所具有的期权特性。在此基础上引入了实物期权方法,包括Black-Scholes期权定价方法和Geske期权定价模型。     

工程建设PM、CM和PMC三种模式的比较

PM、CM和PMC是三种不同的工程建设模式,产生于不同的历史阶段和市场条件,有着各自的特点和适用范围。文章介绍了三种模式的基本含义及特征,在组织、合同、工作范围以及风险和责任等方面进行了比较研究,并对三种模式的优势和适用条件进行了分析,最后强调在应用时,应根据项目的不同情况和条件来加以选择。     

Robustness issues in multilevel regression analysis

A multilevel problem concerns a population with a hierarchical structure. A sample from such a population can be described as a multistage sample. First, a sample of higher level units is drawn (e.g. schools or organizations), and next a sample of the sub‐units from the available units (e.g. pupils in schools or employees in organizations). In such samples, the individual observations are in general not completely independent. Multilevel analysis software accounts for this dependence and in recent years these programs have been widely accepted. Two problems that occur in the practice of multilevel modeling will be discussed. The first problem is the choice of the sample sizes at the different levels. What are sufficient sample sizes for accurate estimation? The second problem is the normality assumption of the level‐2 error distribution. When one wants to conduct tests of significance, the errors need to be normally distributed. What happens when this is not the case? In this paper, simulation studies are used to answer both questions. With respect to the first question, the results show that a small sample size at level two (meaning a sample of 50 or less) leads to biased estimates of the second‐level standard errors. The answer to the second question is that only the standard errors for the random effects at the second level are highly inaccurate if the distributional assumptions concerning the level‐2 errors are not fulfilled. Robust standard errors turn out to be more reliable than the asymptotic standard errors based on maximum likelihood.     

Progressive stress accelerated life tests under finite mixture models

In this paper, progressive stress accelerated life tests are considered when the lifetime of a product under use condition follows a finite mixture of distributions. The experiment is performed when each of the components in the mixture follows a general class of distributions which includes, among others, the Weibull, compound Weibull, power function, Gompertz and compound Gompertz distributions. It is assumed that the scale parameter of each component satisfies the inverse power low, the progressive stress is directly proportional to time and the cumulative exposure model for the effect of changing stress holds. Based on type-I censoring, the maximum likelihood estimates (MLEs) of the parameters under consideration are obtained. A special attention is paid to a mixture of two Rayleigh components. Simulation results are carried out to study the precision of the MLEs and to obtain confidence intervals for the parameters involved.     

The Theory of Socially Embedded Games: Applications and Extensions to Open and Closed Games

An earlier article, drawing on the mathematical theory of rules and rule complexes, extends and generalizes game theory (GGT). The theory has been used to conceptualize and analyze diverse social relationships, roles, and games as particular types of rule complexes.For instance, a social role, as a major basis of a parent's action in a game, consists of at least four key components – which are mathematical objects – in the determination of action: value complex, model of reality (including beliefs and knowledge bases), a repertoire of acts, routines, programs, and strategies, and modality, a role-specific algorithm for determining or generating action in game settings. This article applies and extends GGT in analyses of a market bargaining game (a type of open game) and of the classical game of prisoners' dilemma (a type of closed game). The applications show the concrete effects of social embeddedness on game structuring, game interaction patterns and outcomes, and social equilibria.