The behavior of estimated measures of association in small and moderate sample sizes for 2×3 tables

We consider the distributions of Goodman and Kruskal's G, Kendall's tau-b, and correlation coefficients rho and rho-s for sample sizes 10‘10’40 from 2×3 tables. The results are compared with asymptotic theory. It is found that the convergence of G to its asymptotic normal distribution is much slower than the convergence of the other measures to theirs, and that G is more likely to be significantly biased. However, the variances and biases of all four measures come close to their asymptotic values for quite moderate sample sizes.     

Influence analysis in multivariate linear general models

In this paper we obtain several influence measures for the multivariate linear general model through the approach proposed by Muñoz-Pichardo et al. (1995), which is based on the concept of conditional bias. An interesting charasteristic of this approach is that it does not require any distributional hypothesis. Appling the obtained results to the multivariate regression model, we obtain some measures proposed by other authors. Nevertheless, on the results obtained in this paper, we emphasize two aspects. First, they provide a theoretical foundation for measures proposed by other authors for the mul¬tivariate regression model. Second, they can be applied to any linear model that can be formulated as a particular case of the multivariate linear general model. In particular, we carry out an application to the multivariate analysis of covariance.     

New Goodness-of-Fit Tests Based on Sample Quantiles

In this article power divergences statistics based on sample quantiles are transformed in order to introduce new goodness-of-fit tests. Quantiles of the distribution of proposed statistics are calculated under uniformity, normality, and exponentiality. Several power comparisons are performed to show that the new tests are generally more powerful than the original ones.     

Closeness centrality via the Condorcet principle

We provide a characterization of closeness centrality in the class of distance-based centralities. To this end, we introduce a natural property, called majority comparison, that states that out of two adjacent nodes the one closer to more nodes is more central. We prove that any distance-based centrality that satisfies this property gives the same ranking in every graph as closeness centrality. The axiom is inspired by the interpretation of the graph as an election in which nodes are both voters and candidates and their preferences are determined by the distances to the other nodes.     

Variable order ante-dependence models

Ante-dependence models can be used to model the covariance structure in problems involving repeated measures through time. They are conditional regression models which generalize Gabriel’s constant-order ante-dependence model. Likelihood-based procedures are presented, together with simple expressions for likelihood ratio test statistics in terms of sum of squares from appropriate analysis of covariance. The estimation of the orders is approached as a model selection problem, and penalized likelihood criteria are suggested. Extensions of all procedures discussed here to situations with a monotone pattern of missing data are presented.     

我国中小型家具企业的问题及对策分析

我国中小型家具企业在人才结构、营销服务、市场管理、产品系列化、分配机制等方面存在很多问题,应该根据企业自身优势,明确企业定位,更新管理理念,重视人才引进和改善人才结构,打破家族管理模式,建立科学合理的分配机制,加强销售人员的终端培训,建立市场信息网络,谋求中小型家具企业的持久发展,始终保持较强的市场竞争力。     

女篮运动训练中常见的运动损伤及其预防措施探讨

篮球运动是一项集跑、跳、投等多种能力的综合性运动项目,快节奏、高速度、强对抗的特点,使其在训练、比赛中极容易造成不同身体部位的损伤,主要集合在膝、踝、腰背、小腿、手腕、手指等部位。常见损伤类型以关节韧带扭伤、肌肉拉伤居多,带伤训练比赛、旧伤病未痊愈和身体过度疲劳三个因素是致伤的主要原因,这些都可以通过加强医务监督和自我保护,合理、科学地安排训练内容等方法得到有效预防。     

“Weak” stochastic orderings and dependence measures

Many notions of dependence rely upon orderings of random pairs. These orderings are generally partial orders, and thus there are many pairs of random vectors which are not comparable. By using a weakened version of stochastic dominance, many new orderings, as well as corresponding dependence measures, are created. The application to stock market data is explored.     

解决执行难问题的对策建议

法律制度的供给不足是造成我国执行难的重要原因之一,有效解决执行难,要从制定单独的强制执行法入手,通过重视执行和解的特殊作用,强化媒体曝光、劳务抵债、征信系统＂黑名单＂记录等执行方法和执行措施,并引入检察机关对执行程序的监督机制等。     

合同诈骗犯罪的特点及司法实践中的问题与对策

合同诈骗犯罪严重破坏了社会主义市场经济秩序,影响着市场经济的健康发展。当前形势下,合同诈骗犯罪呈现出了新的特点。司法实践中,在认定合同诈骗犯罪的问题上,存在着法律依据不统一、司法机关认识不一致等问题,为防止合同诈骗,应健全法律和各项规章制度。打击这类犯罪,要标本兼治,重在治本。