Similar Faults Different Endings--A Comparison between the Origins of Tess’s and Hester’s Tragedy

Hester Prynne and Tess Durbeyfield were two eminent female figures in the world by Thomas Hardy and Nathaniel Hawthone.Although the two female leading characters were in different time and place,their tragic experiences were almost the same.However,they were separated in the end.From the comparison of their personalities and the social situation they involved in,we would try to explore the origins of their similarity and ending by this article with the aim of alerting the world.     

The structure of employee attitudes to safety: A European example

This paper concerns organizational safety culture and the structure or architecture of employee attitudes to safety as part of that culture. It begins by reviewing the somewhat scant literature relevant to this area, and then reports a study, conducted in a European company, which collected and factor analysed data on employee attitudes to safety. The framework provided for the study was that offered by Purdham (1984), and the results suggested that employees' attitudes to safety, within this company (across occupation/occupational level and country), could be mapped By five orthogonal factors: personal scepticism, individual responsibility, the safeness of the work environment, the effectiveness of arrangements for safety, and personal immunity. The theoretical and practical implications of these findings are discussed, and attention is drawn to their subsequent use in an intervention to enhance safety culture within the organization by attacking supervisors' attitudes to safety.     

Quadratic estimation in mixed linear models with two variance components

Explicit expressions for Bayes invariant quadratic estimates, biased and unbiased, are presented and proved to cover the entire class of admissible estimates in the considered classes. An unbalanced genetic model is studied for demonstration.     

PARAMETER ESTIMATION AND APPLICATIONS FOR A GENERALISATION OF THE BETA-BINOMIAL DISTRIBUTION

A three-parameter generalisation of the beta-binomial distribution (BBD) derived by Chandon (1976) is examined. We obtain the maximum likelihood estimates of the parameters and give the elements of the information matrix. To exhibit the applicability of the generalised distribution we show how it gives an improved fit over the BBD for magazine exposure and consumer purchasing data. Finally we derive an empirical Bayes estimate of a binomial proportion based on the generalised beta distribution used in this study.     

"双因素"问题的理论分析

"双因素"关系存在于诸多的管理问题之中.作为企业参与市场竞争基本资格的保健因素,具有壁垒性、同质性、动态扩展性、系统性和沉没成本等特性;而对企业竞争能力起关键作用的激励因素,具有异质性、生命周期性、增值性、自觉生成性和单项突出性等.本文还就"双因素"现象的来源、类别,保健因素与激励因素的相互关系及其经济学内涵等问题,进行了初步探讨.     

Kernel naive Bayes discrimination for high‐dimensional pattern recognition

Kernel discriminant analysis translates the original classification problem into feature space and solves the problem with dimension and sample size interchanged. In high‐dimension low sample size (HDLSS) settings, this reduces the ‘dimension’ to that of the sample size. For HDLSS two‐class problems we modify Mika's kernel Fisher discriminant function which – in general – remains ill‐posed even in a kernel setting; see Mika et al. (1999). We propose a kernel naive Bayes discriminant function and its smoothed version, using first‐ and second‐degree polynomial kernels. For fixed sample size and increasing dimension, we present asymptotic expressions for the kernel discriminant functions, discriminant directions and for the error probability of our kernel discriminant functions. The theoretical calculations are complemented by simulations which show the convergence of the estimators to the population quantities as the dimension grows. We illustrate the performance of the new discriminant rules, which are easy to implement, on real HDLSS data. For such data, our results clearly demonstrate the superior performance of the new discriminant rules, and especially their smoothed versions, over Mika's kernel Fisher version, and typically also over the commonly used naive Bayes discriminant rule.     

江苏省区域农业现代化发展水平实证研究

随着江苏工业化、城镇化的深入发展,农业现代化水平不断提升。以农业要素投入水平、农业综合产出水平、农村经济与社会发展水平和农业可持续发展水平等为主体指标建构江苏省13个省辖市农业现代化发展水平评价指标体系,选取2010年江苏省的13个省辖市的相关统计数据,采取因子分析方法,对其农业现代化发展水平进行综合评价,并且对各个地区的农业现代化发展水平进行排序和比较分析。在此基础上提出了相应的对策建议。     

基于贝叶斯正则化的TDBPNN模型在中国外贸预报中的应用及评估

基于相空间重构的非线性预报思想,建立一个时滞的BP神经网络模型(TDBPNN),采用贝叶斯正则化方法提高BP网络的泛化能力,并将该模型应用于中国进出口贸易的预测,结果证明改进的TDBPNN模型具有较好的泛化能力,准确拟合了进出口贸易发展的历史值和趋势。区别于一般的预测评价,认为非线性预测不仅要注重数据拟合和精度改进,而且应该能够反映被预报系统的非线性特征。在分析模型预测精度的同时,通过计算拟合序列和原序列的非线性特征量进行模型评价,证实预测模型能够合理地“捕捉”到产生原序列的非线性系统的动力学特征。     

亲贫困增长分析中的Shapley分解规则

亲贫困增长主要是指能够使贫困群体参与经济活动并从中得到更多好处的经济增长。本文把影响亲贫困增长的因素分解为经济增长效应、收入分配效应和贫困线变动效应,并纳入一个统一分析框架中,采用合作博弈理论中的Shapley分解规则证明了亲贫困增长分析中因素变动效应的完全分解过程,并用住户调查数据（1988-2007年）对中国农村和城镇的亲贫困增长状况进行了实证,在此基础上作为制定具有瞄准功效的反贫困政策的有力依据。     

Factor analysis for ranked data with application to a job selection attitude survey

Summary.  Factor analysis is a powerful tool to identify the common characteristics among a set of variables that are measured on a continuous scale. In the context of factor analysis for non-continuous-type data, most applications are restricted to item response data only. We extend the factor model to accommodate ranked data. The Monte Carlo expectation–maximization algorithm is used for parameter estimation at which the E-step is implemented via the Gibbs sampler. An analysis based on both complete and incomplete ranked data (e.g. rank the top q out of k items) is considered. Estimation of the factor scores is also discussed. The method proposed is applied to analyse a set of incomplete ranked data that were obtained from a survey that was carried out in GuangZhou, a major city in mainland China, to investigate the factors affecting people's attitude towards choosing jobs.