浅析莎剧中的上帝母题

上帝是基督教神学最重要的观念,在基督教信仰中,上帝具有全能的智慧,全在全知;他的旨意决定着一切,世人所能做的只是对他表示无条件的承认和顺从;上帝是仁慈的,对其子民永远表示眷爱;上帝又是公义的,扬善惩恶.在莎士比亚戏剧中,上帝的这些属性得到了充分的展现.文章紧扣圣经文本和剧本内容,对该母题在莎剧中的具体表现作出详尽分析.     

开放信息系统动态运行的需求控制问题

与组织融为一体并相互作用的具有动态结构的开放信息系统是国民经济信息化的基础。本文抽象出信息系统动态运行的需求控制结构,提出了保证这种反馈结构的计算机信息系统的建设要求。     

Examining the link between program implementation and behavior outcomes in the lifestyle education for activity program (LEAP)

Lifestyle Education for Activity Program (LEAP) was a comprehensive, school-based intervention designed to promote physical activity in high school girls. The intervention focused on changes in instructional practices and the school environment to affect personal, social, and environmental factors related to physical activity. Multiple process evaluation tools and an organizational assessment tool were developed to monitor program implementation from a framework called the LEAP essential elements, which characterized complete and acceptable intervention delivery; secular trends were also monitored. Using process data, LEAP intervention schools were categorized into low- and high-implementing groups and compared with control schools on nine essential elements assessed at the organizational level. The Wilcoxon scores test revealed that low- and high-implementing intervention, and control schools differed significantly on two of nine administrator-reported organizational-level components: having a physical activity team and having a faculty-staff health promotion program. A mixed-model analysis of covariance indicated that, compared to control schools, a greater percentage of girls in high-implementing schools reported engaging in vigorous physical activity. Process evaluation can be used to understand the relationship between level of implementation and successful program outcome.     

A Bayesian approach to statistical inference in stochastic DEA

Stochastic DEA can deal effectively with noise in the non-parametric measurement of efficiency but unfortunately formal statistical inference on efficiency measures in not possible. In this paper, we provide a Bayesian approach to the problem organized around simulation techniques that allow for finite-sample inferences on efficiency scores. The new methods are applied to efficiency analysis of the Greek banking system for the period 1993–1999. The results show that the majority of the Greek banks operate close to best market practices.     

Multistage methodologies for comparing several treatments with a control

We consider the problem of constructing a set of fixed-width simultaneous confidence intervals for the treatment-control differences of means for several independent normal populations with a common unknown variance. Taking c observations from the control population instead of the usual vector-at-a-time approach, purely sequential estimation methodology is developed and asymptotic second-order characteristics are provided. Brief remarks on the accelerated sequential and three-stage methodologies have been added. Next, with the help of simulations, performances of the purely sequential, accelerated sequential and three-stage estimation techniques are compared. Overall, the second-order asymptotics are found to provide useful approximations even for moderate sample sizes.     

Monitoring Nonlinear Profiles with Random Effects by Nonparametric Regression

The monitoring of process/product profiles is presently a growing and promising area of research in statistical process control. This study is aimed at developing monitoring schemes for nonlinear profiles with random effects. We utilize the technique of principal components analysis to analyze the covariance structure of the profiles and propose monitoring schemes based on principal component (PC) scores. The number of the PC scores used in constructing control charts is crucial to the detecting power. In the Phase I analysis of historical data, due to the dependency of the PC-scores, we adopt the usual Hotelling T ² chart to check the stability. For Phase II monitoring, we study individual PC-score control charts, a combined chart scheme that combines all the PC-score charts, and a T ² chart. Although an individual PC-score chart may be perfect for monitoring a particular mode of variation, a chart that can detect general shifts, such as the T ² chart and the combined chart scheme, is more feasible in practice. The performances of the schemes under study are evaluated in terms of the average run length.     

A Distribution-Free Control Chart Based on Order Statistics

In this article, we introduce a new distribution-free Shewhart-type control chart that takes into account the location of a single order statistic of the test sample (such as the median) as well as the number of observations in that test sample that lie between the control limits. Exact formulae for the alarm rate, the run length distribution, and the average run length (ARL) are all derived. A key advantage of the chart is that, due to its nonparametric nature, the false alarm rate and in-control run length distribution are the same for all continuous process distributions, and so will be naturally robust. Tables are provided for the implementation of the chart for some typical ARL values and false alarm rates. The empirical study carried out reveals that the new chart is preferable from a robustness point of view in comparison to a classical Shewhart-type chart and also the nonparametric chart of Chakraborti et al. (2004 Chakraborti , S. , van der Laan , P. , van de Wiel , M. A. ( 2004 ). A class of distribution-free control charts . J. Roy. Statist. Soc. Ser. C-Appl. Statist. 53 ( 3 ): 443 – 462 .[Web of Science ®] , [Google Scholar]).     

A Design of s Control Charts with a Combined Double Sampling and Variable Sampling Interval Scheme

In this paper, we propose new estimation techniques in connection with the system of S-distributions. Besides “exact” maximum likelihood (ML), we propose simulated ML and a characteristic function-based procedure. The “exact” and simulated likelihoods can be used to provide numerical, MCMC-based Bayesian inferences.