A note on testing the regression functions via nonparametric smoothing

The authors present a consistent lack‐of‐fit test in nonlinear regression models. The proposed procedure possesses some nice properties of Zheng's test such as the consistency, the ability to detect any local alternatives approaching the null at rates slower than the parametric rate. What's more, for a predetermined kernel function, the proposed test is more powerful than Zheng's test and the validity of these findings is confirmed by the simulation studies and a real data example. In addition, the authors find out a close connection between the choices of normal kernel functions and the bandwidths. The Canadian Journal of Statistics 39: 108–125; 2011 © 2011 Statistical Society of Canada     

Fitting asymmetric bimodal data with selected distributions

ABSTRACT

This article discusses two asymmetrization methods, Azzalini's representation and beta generation, to generate asymmetric bimodal models including two novel beta-generated models. The practical utility of these models is assessed with nine data sets from different fields of applied sciences. Besides this tutorial assessment, some methodological contributions are made: a random number generator for the asymmetric Rathie–Swamee model is developed (generators for the other models are already known and briefly described) and a new likelihood ratio test of unimodality is compared via simulations with other available tests. Several tools have been used to quantify and test for bimodality and assess goodness of fit including Bayesian information criterion, measures of agreement with the empirical distribution and the Kolmogorov–Smirnoff test. In the nine case studies, the results favoured models derived from Azzalini's asymmetrization, but no single model provided a best fit across the applications considered. In only two cases the normal mixture was selected as best model. Parameter estimation has been done by likelihood maximization. Numerical optimization must be performed with care since local optima are often present. We concluded that the models considered are flexible enough to fit different bimodal shapes and that the tools studied should be used with care and attention to detail.     

任务特征对人-组织匹配与员工绩效关系的调节作用

研究检验了任务特征对“人-组织价值一致性”与任务绩效关系的调节作用。结果发现任务非常规性会强化人-价值一致性与员工绩效考核成绩的负关联,而任务依存性会弱化人-价值一致性与员工绩效考核成绩的负关联。研究提出一种非线性模型描述“人-组织匹配”与员工绩效之间的关系,该模型可以较好地解释为何以往研究对于“人-组织匹配”与员工绩效关系的结论不一致的现象。     

Outliers and Patterns of Outliers in Contingency Tables with Algebraic Statistics

Abstract. In this paper, we provide a definition of pattern of outliers in contingency tables within a model‐based framework. In particular, we make use of log‐linear models and exact goodness‐of‐fit tests to specify the notions of outlier and pattern of outliers. The language and some techniques from Algebraic Statistics are essential tools to make the definition clear and easily applicable. We also analyse several numerical examples to show how to use our definitions.     

个人与组织匹配对工作绩效影响的实证研究——以通信企业为例

通过对不同省份通信企业的问卷调查,运用结构方程模型,实证研究了个人与组织匹配、自我效能对工作绩效的影响。结果表明,个人与组织匹配和自我效能都对工作绩效有着显著的正向作用,其中,自我效能在个人与组织匹配对工作绩效的作用过程中起着中介作用。继而根据研究结果对通信企业的人力资源管理提出了相关的建议。     

员工积极组织行为影响因素的实证研究:工作-家庭冲突的中介作用

本研究对505名员工及他们的124名直接主管按照4∶1的比例做了配对调查并对调查结果进行多层数据分析,考察工作压力、工作匹配度、工作-家庭冲突对员工积极组织行为的影响,分析了工作-家庭冲突的中介作用以及员工外倾性人格特质的调节作用。结果发现,工作-家庭冲突对员工的积极组织行为产生显著的负向影响;工作-家庭冲突在工作匹配、工作压力与员工积极组织行为的关系中起到中介作用;员工外倾性人格特质对工作-家庭冲突与员工积极组织行为之间的关系有调节作用,即外倾性人格特质能够降低工作-家庭冲突的负面影响,减弱其对员工积极组织行为的不利影响。     

张洁与俄苏文学

俄苏文学对张洁的影响,既来自于时代文化背景的熏陶浸染,也来自于作家主动的接受与借鉴。总体而言,俄苏文学主要影响了张洁早期的创作,其中有俄苏文学优良传统被整体性潜移默化的方式消化吸收的情况,也有直接汲取契诃夫、屠格涅夫、陀思妥耶夫斯基等伟大作家某些艺术精髓的方式。张洁之于俄苏文学,既显示了中外作家的文心相契,也于同中显异,突出了作家的创作个性。     

Europeanisation and the Youth Guarantee: The case of France

In 2013, the European Council approved the Youth Guarantee (YG) to counteract youth unemployment. Because of its specific features, the YG is useful for understanding whether the EU has triggered policy change in national youth unemployment policies. Contrary to most of the literature on similar topics, we focused in this study on the effect of this specific European measure rather than on broader EU strategies or policies. The study contributes to the literature by qualifying the degree of fit/misfit and suggesting a counterfactual analysis, using the case of France. We first situate the article within the broader Europeanisation debate and present our research design. The second section introduces the policy structure of the YG and investigates youth unemployment policy in France, prior to and after the European initiative. The third section discusses whether the French youth unemployment policy would have been developed in the same way without the YG. A final section concludes.     

Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation

Children represent a large underserved population of “therapeutic orphans,” as an estimated 80% of children are treated off‐label. However, pediatric drug development often faces substantial challenges, including economic, logistical, technical, and ethical barriers, among others. Among many efforts trying to remove these barriers, increased recent attention has been paid to extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. The Bayesian statistical paradigm is natural in this setting, as it permits the combining (or “borrowing”) of information across disparate sources, such as the adult and pediatric data. In this paper, authored by the pediatric subteam of the Drug Information Association Bayesian Scientific Working Group and Adaptive Design Working Group, we develop, illustrate, and provide suggestions on Bayesian statistical methods that could be used to design improved pediatric development programs that use all available information in the most efficient manner. A variety of relevant Bayesian approaches are described, several of which are illustrated through 2 case studies: extrapolating adult efficacy data to expand the labeling for Remicade to include pediatric ulcerative colitis and extrapolating adult exposure‐response information for antiepileptic drugs to pediatrics.     

Community-Based Services and Depression from Person-Environment Fit Perspective: Focusing on Functional Impairments and Living Alone

ABSTRACT

Guided by the Person-Environment Fit perspective, we investigated the extent to which personal and environmental factors influence depression among community-dwelling adults. The data came from the special section about community-based service utilization in the 2012 Health and Retirement Study (N=1,710). Although community-based service was not significantly associated with depression after controlling for covariates, respondents with functional limitations and living alone were less likely to be depressed when using community-based services. This study demonstrates the different associations between community-based services and depression depending on personal needs. It discusses the importance of community-based services for aging-in-place policy, particularly among vulnerable populations.