Model Diagnostics for Remote Access Regression Servers

To protect public-use microdata, one approach is not to allow users access to the microdata. Instead, users submit analyses to a remote computer that reports back basic output from the fitted model, such as coefficients and standard errors. To be most useful, this remote server also should provide some way for users to check the fit of their models, without disclosing actual data values. This paper discusses regression diagnostics for remote servers. The proposal is to release synthetic diagnostics—i.e. simulated values of residuals and dependent and independent variables–constructed to mimic the relationships among the real-data residuals and independent variables. Using simulations, it is shown that the proposed synthetic diagnostics can reveal model inadequacies without substantial increase in the risk of disclosures. This approach also can be used to develop remote server diagnostics for generalized linear models.     

Nonresponse weighting adjustment using estimated response probability

To reduce nonresponse bias in sample surveys, a method of nonresponse weighting adjustment is often used which consists of multiplying the sampling weight of the respondent by the inverse of the estimated response probability. The authors examine the asymptotic properties of this estimator. They prove that it is generally more efficient than an estimator which uses the true response probability, provided that the parameters which govern this probability are estimated by maximum likelihood. The authors discuss variance estimation methods that account for the effect of using the estimated response probability; they compare their performances in a small simulation study. They also discuss extensions to the regression estimator.     

Goodness‐of‐fit methods for matched case‐control studies

The authors propose graphical and numerical methods for checking the adequacy of the logistic regression model for matched case‐control data. Their approach is based on the cumulative sum of residuals over the covariate or linear predictor. Under the assumed model, the cumulative residual process converges weakly to a centered Gaussian limit whose distribution can be approximated via computer simulation. The observed cumulative residual pattern can then be compared both visually and analytically to a certain number of simulated realizations of the approximate limiting process under the null hypothesis. The proposed techniques allow one to check the functional form of each covariate, the logistic link function as well as the overall model adequacy. The authors assess the performance of the proposed methods through simulation studies and illustrate them using data from a cardiovascular study.     

Performance measurement and classification data in DEA: Input-oriented model

This paper presents an improved efficiency measurement tool by modifying the existing data envelopment analysis methodology to permit the incorporation of expert knowledge. A previous paper examined the inclusion of such knowledge within the additive model. This information appeared in the form of a binary classification of a subset of the decision making units under study (e.g. good versus poor performers). In the current paper, we extend this logic to the input-oriented radial projection model. We demonstrate that the inclusion of this and other forms of expert judgment can improve the performance of the DEA tool in the sense that the efficiency scores are more in line with expert/management beliefs.     

Asthma Patients' Activities and Air Pollution: A Semiparametric Censored Regression Analysis

Asthma patients' health status may be especially sensitive to some types of air pollution, but the evidence on this is mixed. We explore the effects of ground-level ozone on asthma patient's activities, breaking apart the usual aggregated category of leisure into indoor and outdoor activities, and differentiating those by whether the activities were active or inactive. Applying the semiparametric censored estimation method we demonstrate that even though the period over which activities were observed was relatively low in ozone levels, there is a significant impact of ozone on a few activities. The (non-ozone) economic and demographic variables in the model play significant roles in explaining the allocation of time among seven activities, suggesting the suitability of the approach for other household decision-making contexts.     

Block external bootstrap in partially linear models with nonstationary strong mixing error terms

The authors extend the block external bootstrap to partially linear regression models with strongly mixing, nonstationary error terms. In addition to providing an approximate distribution for the semiparametric least square estimator of the parametric component, they propose a consistent estimator of the co‐variance matrix of this estimator.     

浅析凤翔泥塑对现代设计的启示

中国的民间手工艺文化一直延续着中华本元文化的特征,保持了精神和物质统一的原生状态,同时包蕴了中华民族传统的自然观和思维方式,无论是其中的思想智慧还是造物工艺都为我们的现代设计在如何继承本土文化方面打开了一个可供吸收营养和借鉴的宝库。凤翔泥塑作为一种符号现象被现代设计加以运用,不能不说是民间传统手工艺术在现代的一次回归浪潮。文章探讨的是凤翔泥塑在纹饰、色彩、造型三个方面带给现代设计的启示。     

基于规则的客户关系管理系统建模方法

客户关系管理系统(CRM)是提高企业核心竞争力的有力武器。以工作流和过程建模技术为基础,研究CRM系统的建模,是CRM系统的建立和顺畅运行的关键。因此,将动态过程建模的思想引入CRM系统的建模过程中,按照逐层分解的建模方式来简化系统的复杂性,并采用事件驱动的、基于扩展业务规则的方法进行CRM系统的过程建模和系统性能评价,是针对CRM系统进行建模的有效手段。通过以上方法,可以建立出全面支持CRM系统运行、监控、仿真和性能评价的过程模型。根据该方法建立的CRM系统的模型经过仿真实验和企业实际应用,证明具有良好的应用效果。     

审美回归与英雄失色——兼论《金瓶梅》中的“水浒”人物

明代长篇小说在经历了神异化、传奇化、历史化的过程以后,作家们的目光转向了世俗和人间。这一转变,使小说作家的文学定位由以前的仰视天空或回首过去转向了对现实、对人生的描写。而那些叱咤于神话、历史和传奇故事中的英雄豪侠,诸如《水浒传》中的宋江、武松等人到了《金瓶梅》等一类世情作品中,便褪去了神奇的色彩,而被赋予了常人的属性,这是作家审美视角转换而导致的人性回归。     

分位数回归及应用简介

文章介绍了分位数回归法的概念、算法及主流统计软件R和SAS计算时的语法,并通过实例与以普通最小二乘法为基础的线性回归进行了对比,展现了分位数回归的巨大魅力。