Flexible Bivariate Count Data Regression Models

The article develops a semiparametric estimation method for the bivariate count data regression model. We develop a series expansion approach in which dependence between count variables is introduced by means of stochastically related unobserved heterogeneity components, and in which, unlike existing commonly used models, positive as well as negative correlations are allowed. Extensions that accommodate excess zeros, censored data, and multivariate generalizations are also given. Monte Carlo experiments and an empirical application to tobacco use confirms that the model performs well relative to existing bivariate models, in terms of various statistical criteria and in capturing the range of correlation among dependent variables. This article has supplementary materials online.     

Analyzing Binomial Data in a Split-Plot Design: Classical Approach or Modern Techniques?

Modeling data that are non-normally distributed with random effects is the major challenge in analyzing binomial data in split-plot designs. Seven methods for analyzing such data using mixed, generalized linear, or generalized linear mixed models are compared for the size and power of the tests. This study shows that analyzing random effects properly is more important than adjusting the analysis for non-normality. Methods based on mixed and generalized linear mixed models hold Type I error rates better than generalized linear models. Mixed model methods tend to have higher power than generalized linear mixed models when the sample size is small.     

The Use of Telematics Devices to Improve Automobile Insurance Rates

Most automobile insurance databases contain a large number of policyholders with zero claims. This high frequency of zeros may reflect the fact that some insureds make little use of their vehicle, or that they do not wish to make a claim for small accidents in order to avoid an increase in their premium, but it might also be because of good driving. We analyze information on exposure to risk and driving habits using telematics data from a pay‐as‐you‐drive sample of insureds. We include distance traveled per year as part of an offset in a zero‐inflated Poisson model to predict the excess of zeros. We show the existence of a learning effect for large values of distance traveled, so that longer driving should result in higher premiums, but there should be a discount for drivers who accumulate longer distances over time due to the increased proportion of zero claims. We confirm that speed limit violations and driving in urban areas increase the expected number of accident claims. We discuss how telematics information can be used to design better insurance and to improve traffic safety.     

城市路网的宏观容量模型研究及其应用

近些年来,如何定量城市路网的宏观容量成为一种研究城市总体路网容量的新方法,法国学者马森（１９８９）给出了交通个体占用的城市路网的时空应用重要性。这个理论只是表明了以交通个体的路网空间的时间占用或是路网时间的空间占用为定量形式的多种交通模蝗内部效用,同时也调查了城市道路交通基础设施的内部潜力,例如停车场,机动车道,自行车道及人行道等等。另一方面,该理论能进一步证明并且计算路网时空使用的经济效用及其经     

法律英语中subject to的用法和译法

在使用subjectto搭配的语料中,法律英语实例最多,其中法律条文语言又是法律英语中使用这种搭配最多的次语域,这一搭配在法律语言中主要用于表达条件关系。对17部法律的英汉文本的对比调查表明,现有subjectto的译法从意义表达角度看基本上可以接受,但是,占调查译例总量近一半的实例将原文对条件的正面陈述译成了反面的排除表达,欠准确;其他正面译法的具体表达方法过于繁杂,需要进一步统一、规范。     

Baker- Lin-Huang Type Bivariate Distributions Based on Order Statistics

Baker (2008 Baker, R. (2008). An order-statistics-based method for constructing multivariate distributions with fixed marginals. J. Multivariate Anal. 99: 23122327.[Crossref], [Web of Science ®] , [Google Scholar]) introduced a new class of bivariate distributions based on distributions of order statistics from two independent samples of size n. Lin and Huang (2010 Lin, G.D., Huang, J.S. (2010). A note on the maximum correlation for Baker’s bivariate distributions with fixed marginals. J. Multivariate Anal. 101: 22272233.[Crossref], [Web of Science ®] , [Google Scholar]) discovered an important property of Baker’s distribution and showed that the Pearson’s correlation coefficient for this distribution converges to maximum attainable value, i.e., the correlation coefficient of the Fréchet upper bound, as n increases to infinity. Bairamov and Bayramoglu (2013 Bairamov, I., Bayramoglu, K. (2013). From Huang-Kotz distribution to Baker’s distribution. J. Multivariate Anal. 113: 106115.[Crossref], [Web of Science ®] , [Google Scholar]) investigated a new class of bivariate distributions constructed by using Baker’s model and distributions of order statistics from dependent random variables, allowing higher correlation than that of Baker’s distribution. In this article, a new class of Baker’s type bivariate distributions with high correlation are constructed based on distributions of order statistics by using an arbitrary continuous copula instead of the product copula.     

流动儿童心理健康研究述评

通过梳理近期的流动儿童心理健康研究文献得出结论:流动儿童心理健康水平普遍低于城市儿童,主要表现为歧视知觉强、身份认同危机及自卑、焦虑等消极情绪。研究者主要从家庭、学校、社会和个人4个方面分析影响流动儿童心理健康的因素,并对流动儿童心理健康教育提出建议。现有研究存在缺少统一的研究工具、横断研究多、纵向研究少等不足,建议进行跨群体比较研究及对流动儿童积极心理的研究。     

论法院网络负面舆论较多的原因与应对

在全国性舆论事件越来越多的新媒体时代,社会对司法公正的关注度越来越高。特别是近两年,大量的网络负面舆论影响到了法院的独立审判。为引导与应对网络负面舆论,应从司法公正关注度、网民围观评论、民间舆论领袖、媒体报道商业化及外媒关注、法院信息公开不到位与舆论引导能力欠缺5个方面,结合实务案例分析找出相应的引导与应对措施。     

“何以……为”类习惯说法的来源及其异同

“何以……为”类说法曾因所用虚词用法被误解而发生过结构的变异,由“宾·介·宾·动”式变异为“状·动·宾·语气词”式。变异前后表示的意思大致接近,但有区别。“奚以……为”、“何以为”“奚以为”等是由变异前的“何以……为”通过虚词替换或成分省略而形成的。,“恶用……为”、“安以……为”“何……为”等则是由变异后的“何以……为”通过虚词替换或成分省略而形成的。所以“何以……为”类习惯说法其来源及结构并不完全相同,不可一概而论。