Likelihood ratio tests for multivariate normality

This paper presents some powerful omnibus tests for multivariate normality based on the likelihood ratio and the characterizations of the multivariate normal distribution. The power of the proposed tests is studied against various alternatives via Monte Carlo simulations. Simulation studies show our tests compare well with other powerful tests including multivariate versions of the Shapiro–Wilk test and the Anderson–Darling test.     

人—工作匹配对员工工作幸福感的作用机制研究

基于社会交换理论,通过对209名员工2个时点的配对问卷调查,探讨了人—工作匹配和工作幸福感的关系及其作用机制,尤其是工作卷入的中介作用和工作技能的调节作用。结果发现:人—工作匹配对工作幸福感具有显著的正向作用;工作卷入在人—工作匹配和工作幸福感之间起部分中介作用;工作技能在人—工作匹配和工作卷入之间起调节作用,即工作技能水平越高,人—工作匹配对工作卷入的正向影响越强。     

A new goodness of fit test for the equality of multinomial cell probabilities versus trend alternatives

In this paper, a new test statistic is presented for testing the null hypothesis of equal multinomial cell probabilities versus various trend alternatives. Exact asymptotic critical values are obtained, The power of the test is compared with several other statistics considered by Choulakian et al (1995), The test is shown to have better power for certain trend alternatives.     

一中华优秀传统文化与社会主义核心价值观的内在契合

对于社会主义文化强国建设而言,中华优秀传统文化、社会主义核心价值观是不可或缺的重要话语体系,是国家软实力的显著标志。中华优秀传统文化与社会主义核心价值观在逻辑运演与实践运行上体现出密不可分、水乳交融的内在契合。中华优秀传统文化是社会主义核心价值观的涵养之源,社会主义核心价值观是弘扬中华优秀传统文化的价值导引,中华优秀传统文化与社会主义核心价值观可以实现现实联动。只有寻求中华优秀传统文化与社会主义核心价值观的静态支撑、动态联缀,才能更好构筑"四个全面"战略布局的价值向度,强力推进中华民族伟大复兴中国梦的顺利实现。     

A new estimator of Kullback–Leibler information and its application in goodness of fit tests*

We propose here a general statistic for the goodness of fit test of statistical distributions. The proposed statistic is constructed based on an estimate of Kullback–Leibler information. The proposed test is consistent and the limiting distribution of the test statistic is derived. Then, the established results are used to introduce goodness of fit tests for the normal, exponential, Laplace and Weibull distributions. A simulation study is carried out for examining the power of the proposed test and to compare it with those of some existing procedures. Finally, some illustrative examples are presented and analysed, and concluding comments are made.     

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.     

The effect of different data structures,sample sizes on model fit measures

In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption.     

Asymptotic distribution of regression correlation coefficient for Poisson regression model

This study treats an asymptotic distribution for measures of predictive power for generalized linear models (GLMs). We focus on the regression correlation coefficient (RCC) that is one of the measures of predictive power. The RCC, proposed by Zheng and Agresti is a population value and a generalization of the population value for the coefficient of determination. Therefore, the RCC is easy to interpret and familiar. Recently, Takahashi and Kurosawa provided an explicit form of the RCC and proposed a new RCC estimator for a Poisson regression model. They also showed the validity of the new estimator compared with other estimators. This study discusses the new statistical properties of the RCC for the Poisson regression model. Furthermore, we show an asymptotic normality of the RCC estimator.