多拉格朗日乘子情形下影子价格的判别和计算

非线性优化模型中经常出现多重Lagrange乘子现象，导致决策者错误地计算资源的影子价格.本文针对该问题指出最小欧几里得范数的Lagrange乘子是影子价格.同时，还提出了一个无约束优化模型用以求解最小欧几里得范数 Lagrange乘子，该无约束优化模型可以通过经典的非光滑优化算法求解.最后，本文提出一个基于次梯度的算法求解影子价格，该算法是次线性收敛的，且计算时间与约束条件的个数及自变量的个数线性相关.     

Acceptance of automation manufacturing technology in China: an examination of perceived norm and organizational efficacy

Abstract

With a shift to more automation technology, social acceptance of technology plays an important role in the manufacturing sector. To what extent this occurs, and affects the adoption of technology, has been less researched, but is important in deciding how such technology is introduced, and the nature of the shift from labour-intensive manufacturing to automation. This research applies the revised technology acceptance model (TAM) to examine the impact of social and individual antecedents on the acceptance of automation manufacturing technology. Survey data are collected from 258 Chinese manufacturers. Results suggest that perceived norms significantly affect organizational intention to use automation manufacturing technology both directly and via perceived usefulness; organizational efficacy explains the intention to use via mediating effect of perceived usefulness and perceived ease of use. This research is one of the first extending and applying TAM from individuals to organizations.     

福柯的生命政治与生命概念辨析

“生命政治”是福柯最复杂的概念之一，涉及福柯的权力分析及其后期的一系列主题。通过辨析福柯的生命政治、生命权力概念，并借助对福柯的“生命”概念在规范和审美两个维度上的延伸讨论，发现对于福柯而言，与康吉莱姆的“否定性生命价值”相对应，生命政治的核心仍然是在生命的肯定性层面，自由、反抗或者新的主体性的生成，均与这一肯定性的生命政治理解密切相关。     

Minimum variance unbiased estimation of stress–strength reliability under bivariate normal and its comparisons

In many industrial and natural phenomena, we need the probability that a component is smaller than the other component. Under a stress–strength model, this is reliability of an item. Under independent setup, there are different approaches for the estimation of such reliability. Here, estimation is considered under the dependent case. Under bi-variate setup uniformly minimum variance unbiased estimator is obtained. Also comparison with available estimator based on Maximum Likelihood Estimate (MLE) is done through Mean Square Error (MSE) and bias. Also these are compared by computing L₁ distance between their distribution functions. From this idea and numerical computations, UMVUE appears to be good.     

试论互惠利他性德育的核心理念

国内外德育方法已普遍从灌输道德知识为主发展到多种德育方式并重,力求让道德通过一种非强制性力量使人们倾向于选择善行。互惠利他性德育从思维和操作层面提供了具有一定价值的道德实现路径,指出互惠利他性是人们心底的契约,只有善行才会使自己无拘束的生存发展,才能从根本上维护自己的既得和应得利益;互惠利他性是人对道德知行转化的精神体认,并为知行转化提供价值根据,促使道德行为由他律模式转为自律模式。     

A study of Bayesian local robustness with applications in actuarial statistics

Local or infinitesimal Bayesian robustness is a powerful tool to study the sensitivity of posterior magnitudes, which cannot be expressed in a simple manner. For these expressions, the global Bayesian robustness methodology does not seem adequate since the practitioner cannot avoid using inappropriate classes of prior distributions in order to make the model mathematically tractable. This situation occurs, for example, when we compute some types of premiums in actuarial statistics in order to fix the premium to be charged to an insurance policy. In this paper, analytical and simple expressions that allow us to study the sensitivity of premiums, which are usually used in automobile insurance are provided by using the local Bayesian robustness methodology. Some examples are examined by using real automobile claim insurance data.     

小议城市绿地指标

城市绿地指标的制定是城市绿地系统规划的重要内容之一 ,是一个城市绿色环境数量及质量的量化标准。本文着重介绍了城市绿地指标的作用 ,影响城市绿地指标的因素以及历来我国城市绿地指标的制定情况。     

Too Scared or Too Capable? Why Do College Students Stay Away from the H1N1 Vaccine?

Although college students were among the populations that had the highest frequency of infection for H1N1 influenza, only 8% of them received H1N1 vaccine this past flu season nationwide. During the peak of this pandemic, information about H1N1 vaccine was widely available. However, knowledge test and behavioral data indicated that most college students were not equipped with basic facts about H1N1 and the H1N1 vaccine. To investigate socio‐psychological factors that might have deterred this high‐risk population from learning about and getting the H1N1 vaccine, this study tested the utility of a risk information seeking model in addressing this health communication problem. Data collected from an online survey of 371 college students showed that respondents seemed to overestimate how much they knew about the vaccine. Risk information seeking, however, positively influenced their intentions to get the vaccine. Results suggested that to communicate effectively to this population, it is important to emphasize the difference between perceived knowledge and actual knowledge, monitor emotional responses to potential risks, and promote getting flu vaccination as a socially desirable behavior.     

Parallel tempering for dynamic generalized linear models

ABSTRACT

Markov chain Monte Carlo (MCMC) methods can be used for statistical inference. The methods are time-consuming due to time-vary. To resolve these problems, parallel tempering (PT), as a parallel MCMC method, is tried, for dynamic generalized linear models (DGLMs), as well as the several optimal properties of our proposed method. In PT, two or more samples are drawn at the same time, and samples can exchange information with each other. We also present some simulations of the DGLMs in the case and provide two applications of Poisson-type DGLMs in financial research.     

Further influence measures in factor analysis

Various influence measures are discussed for sensitivity analysis in factor analysis. The internal norm is used to characterize the vector-valued influence curves in factor analysis. Influence curves for the chi-square goodness of fit test, and the determinants of the model covariance matrix and unique variance matrix are derived. They are found to have simple formulas which are easy to be interpreted and have nice distributions for calibration. The likelihood displacement is also applied to sensitivity analysis in maximum likelihood factor analysis.