Comparison of performance measures for multivariate discrete models

For multivariate probit models, Spiess and Tutz suggest three alternative performance measures, which are all based on the decomposition of the variation. The multivariate probit model can be seen as a special case of the discrete copula model. This paper proposes some new measures based on the value of the likelihood function and the prediction-realization table. In addition, it generalizes the measures from Spiess and Tutz for the discrete copula model. Results of a simulation study designed to compare the different measures in various situations are presented.     

Deciding with Thresholds: Importance Measures and Value of Information

Risk‐informed decision making is often accompanied by the specification of an acceptable level of risk. Such target level is compared against the value of a risk metric, usually computed through a probabilistic safety assessment model, to decide about the acceptability of a given design, the launch of a space mission, etc. Importance measures complement the decision process with information about the risk/safety significance of events. However, importance measures do not tell us whether the occurrence of an event can change the overarching decision. By linking value of information and importance measures for probabilistic risk assessment models, this work obtains a value‐of‐information‐based importance measure that brings together the risk metric, risk importance measures, and the risk threshold in one expression. The new importance measure does not impose additional computational burden because it can be calculated from our knowledge of the risk achievement and risk reduction worth, and complements the insights delivered by these importance measures. Several properties are discussed, including the joint decision worth of basic event groups. The application to the large loss of coolant accident sequence of the Advanced Test Reactor helps us in illustrating the risk analysis insights.     

浅析高职院校信息化建设问题及对策

十二五期间，国家要求大力加强信息化建设，作为后起之秀，高职院校借此发展东风，迅速兴起信息化建设热潮。但在信息化建设中认识不到位、重复建设、效率低下、资源浪费严重等问题层出不穷。本文结合高职院校信息化实际，从四个方面分析了目前高职院校信息化建设中存在的问题，并提出切实改进意见，以期促进高职院校信息化建设高效、扎实稳步推进。     

Comparing mean ranks for repeated measures data

Rank tests are considered that compare t treatments in repeated measures designs. A statistic is given that contains as special cases several that have been proposed for this problem, including one that corresponds to the randomized block ANOVA statistic applied to the rank transformed data. Another statistic is proposed, having a null distribution holding under more general conditions, that is the rank transform of the Hotelling statistic for repeated measures. A statistic of this type is also given for data that are ordered categorical rather than fully rankedo Unlike the Friedman statistic, the statistics discussed in this article utilize a single ranking of the entire sample. Power calculations for an underlying normal distribution indicate that the rank transformed ANOVA test can be substantially more powerful than the Friedman test.     

优势互补,协力合作开发——中俄双方联合开发抚远三角洲的问题研究

随着中俄两国在抚远三角洲国界线走向勘界工作的结束,两国地方政府便将抚远三角洲的开发建设提上重要议事日程。抚远三角洲独特的地缘优势使中俄双方在抚远三角洲开发建设上具有极强的互补性。因此,中俄双方遵循互利双赢的原则,不断完善合作协调机制,大力发展在能源、资源、农业、科技及旅游业等方面的协力合作,共同将抚远三角洲打造为区域开放合作的大平台。     

晚清立宪派整体构建状况和群体特征分析——以1905-1911年江苏立宪派为中心的探讨

晚清立宪派作为改革力量在中国近代史上扮演过重要角色。江苏立宪派则是立宪派的中坚力量,以其自身优势意图引领和把握立宪运动的走向和动态。文章通过考察江苏立宪派的地域特征、人员构成和来源背景可以看出,江苏立宪派群体得以构建主要源于地缘因素与经济基础,其深厚的文化底蕴、优越的经济条件及开明并保守的政治性格等三个主要特征也决定了其在晚清立宪运动中的政治心理与行为方式,从而使其作为一支重要的基层改革力量对晚清立宪运动的效果产生深刻的影响。     

文化领域：和谐社会建设的瓶颈

和谐社会建设包括这个社会的经济、政治、文化和社会人生四大领域的和谐以及这四大领域自身的和谐。但这四大领域之间矛盾重重，破解难题的瓶颈就是文化领域。因为文化的核心和本质是价值观体系，正是价值观决定经济、政治、社会人生领域如何运行。因此，应该下大气力做好文化领域的工作，确立社会主义文化的主导文化地位，用社会主义核心价值观促进社会四大领域的和谐。     

英汉翻译中的“翻译腔”研究

"翻译腔"是由于译者受原语表达方式的影响和束缚而产生的不符合译语语言习惯的译文.这种译文生硬、晦涩、难懂,甚至使读者不知所云,是我们在翻译实践中应该避免的.从翻译腔的概念及其形成原因两个方面进行分析,并提出了一些克服其症的见解.     

On asymptotic non-normality of null distributions of mrpp statistics

Severe departures from normality occur frequently for null distributions of statistics associated with applications of mulLi-response permutation procedures (MRPP) for either small or large finite populations. This paper describes the commonly encountered situation associated with asymptotic non-normality for null distributions of MRPP statistics which does not depend on the underlying multivariate distribution. In addition, this paper establishes the existence of a non-degenerate underlying distribution for which the null distributions of MRPP statistics are asymptotically non-normal for essentially all size structure configurations. It is known that MRPP statistics are symmetric versions of a broader class of statistics, most of which are asymmetric. Because of the non-normality associated with null distributions of MRPP statistics, this paper includes necessary results for inferences based on the exact first three moments of anv statistic in this broader class (analogous to existing results for MRPP statistics).