A Population Approach to Analysis of Variance Models

Several authors have contributed to what can now be considered a rather complete theory for analysis of variance in cases with orthogonal factors. By using this theory on an assumed basic reference population, the orthogonality concept gives a natural definition of independence between factors in the population. By looking upon the treated units in designed experiments as a formal sample from a future population about which we want to make inference, a natural parametrization of expectations and variances connected to such experiments arises. This approach seems to throw light upon several controversial questions in the theory of mixed models. Also, it gives a framework for discussing the choice of conditioning in models     

论转型期的社会失范与社会控制

自改革开放以来，我国进入了全新的快速转型期。社会转型是社会结构的整体性变迁，是社会由传统型向现代型的转变过程：而社会失范是转型社会的必然现象。正确认识这一点，对于我们把握社会转型和社会控制具有重要的方法论意义。     

空气处理过程自动分析软件的开发

介绍一个能对空气处理过程进行自动分析的计算机软件，该软件能生成湿空气的焓－湿图，显示空气处理过程，并对娄在动处理，为空调系统设备选择提供其础数据。     

通风与空调工程漏风量测试装置的改进

风管漏风量的大小是检验通风与空调系统工程质量和降低能耗的一项重要指标，以“通风与空调工程施工及验收规范GB50243－97”的一项新增条款为依据，对漏风量测试装置作了分析，着重对以孔板作节流元件的风管式漏风测试装置在风压调整及自动取压两方面作了改进，并做了相应的试验，为新规范在行业内的实施与推广作必要的准备。     

The Secrets of Scheherazade: Toward a Functional Analysis of Imaginative Literature

A functional analysis of selected aspects of imaginative literature is presented. Reading imaginative literature is described as a process in which the reader makes indirect contact with the contingencies operating on the behavior of story characters. A functional story grammar is proposed in which the reader''s experience with a story is interpreted in terms of escape contingencies in which the author initially introduces an establishing operation consisting of a source of tension, which is resolved in some way by the outcome of the story. Although escape contingencies represent the functional basis for the structure of stories, they are to be understood in a context of many other reinforcers for reading fiction. Other contingencies that maintain reading are discussed. Functional analyses of imaginative literature have much to offer, both in improving literary education and in understanding the behavioral processes that occur on the part of the reader.     

Nonlinear Regression

It is often thought that regression data should be mean-centered before being diagnosed for collinearity (ill conditioning). This view is shown not generally to be correct. Such centering can mask elements of ill conditioning and produce meaningless and misleading collinearity diagnostics. In order to assess conditioning meaningfully, the data must be in a form that possesses structural interpretability.     

Methodological considerations in the use of name generators and interpreters

With data from the Clergy Health Initiative Longitudinal Survey, we look for interviewer effects, differences between web and telephone delivery, and panel conditioning bias in an “important matters” name generator and interpreter, replicated from the U.S. General Social Survey. We find evidence of phone interviewers systematically influencing the number of confidants named, we observe that respondents assigned to the web survey reported a larger number of confidants, and we uncover strong support for panel conditioning. We discuss the possible mechanisms behind these observations and conclude with a brief discussion of the implications of our findings for similar studies.     

住宅用户终端配电箱的设计

就住宅发展的现状,结合当前人民的消费水平和家用电器市场发展情况,根据住宅电气设计的最新动态,就其中住宅用户终端配电箱设计中的一些问题──负荷划分、配电方式、入户电流的计算、户终端配电箱的安装进行阐述。     

基于虚拟仪器的检测技术创新实验教学平台

文章讨论了对原有的检测技术实验教学体系进行改革,构建了检测技术创新实验教学平台,给出了基于虚拟仪器技术的检测技术创新实验教学平台构建方案。     

Further theoretical results and a comparison between two methods for approximating eigenvalues of perturbed covariance matrices

Covariance matrices, or in general matrices of sums of squares and cross-products, are used as input in many multivariate analyses techniques. The eigenvalues of these matrices play an important role in the statistical analysis of data including estimation and hypotheses testing. It has been recognized that one or few observations can exert an undue influence on the eigenvalues of a covariance matrix. The relationship between the eigenvalues of the covariance matrix computed from all data and the eigenvalues of the perturbed covariance matrix (a covariance matrix computed after a small subset of the observations has been deleted) cannot in general be written in closed-form. Two methods for approximating the eigenvalues of a perturbed covariance matrix have been suggested by Hadi (1988) and Wang and Nyquist (1991) for the case of a perturbation by a single observation. In this paper we improve on these two methods and give some additional theoretical results that may give further insight into the problem. We also compare the two improved approximations in terms of their accuracies.