多任务委托——代理关系中激励机制优化设计

本文对任务之间存在可替代性的多任务委托--代理激励机制优化设计问题进行了研究,并在优化模型的基础上,对相对激励强度进行了比较静态分析.研究表明,委托人对于重要性高的任务的激励力度应高于重要性低的任务的激励力度;同时,委托人对于不确定性较低任务的激励力度也应大于不确定性较高任务的激励力度;而随着两任务可替代性的增强,这种较高的激励力度应该得到进一步加强.     

火力发电厂企业集成体系结构的研究

在电力市场的竞争压力面前,火力发电厂对管理变革以及支持这样的变革的信息化支撑环境表现出迫切需求。本文以提升火力发电厂综合竞争力为出发点,分析了火力发电厂管理变革的特征,研究了支撑火力发电厂管理变革的企业集成的体系结构。     

法院拒不执行判决行为危害性及对策研究

“法院拒不执行生效判决”问题,尽管我国的立法尚未涉及,但却是司法实践中经常发生的问题,致使当事人合法权益得不到保护。本文分析法院拒不执行判决行为的危害性及其产生原因,并探讨如何解决这个问题的对策。     

关于两类二阶非线性系统的全局渐近稳定性

本文讨论了两类二阶非线性系统的零解的全局渐近稳定性,得到了一组充分条件．     

甘蓝型油菜NCa雄性不育系细胞形态学研究

甘蓝型油菜NCa雄性不育系和其保持系的花粉发育的研究指出：其花粉发育受阻发生在孢原细胞分化期,没有花粉囊的分化,有少量花粉发育受阻发生在四分体和单核花粉粒阶段,小孢子难以从四分体中释放出来,并且小孢子开始液泡化．     

战略性新兴产业集群与区域经济空间耦合发展效率测度方法研究

为定量测度中国战略性新兴产业集群与各级区域经济空间的耦合发展效率,以容量耦合的分析框架为基础,构建战略性新兴产业集群与区域经济空间耦合系统及其耦合发展效率测度模型。以2010年度横截面数据为样本,对中国31个省份战略性新兴产业集群与区域经济空间的耦合发展效率进行实际测度,结果表明:中国东部地区、东北地区、中部地区以及西部地区的战略性新兴产业集群与区域经济空间的耦合发展效率依次降低;31个省份中,上海、江苏、浙江、山东、广东、安徽6省(市)战略性新兴产业集群领先于区域经济空间的发展效率,其余25个省(市)的发展效率则滞后于区域经济空间。     

An omnibus lack of fit test in logistic regression with sparse data

The usefulness of logistic regression depends to a great extent on the correct specification of the relation between a binary response and characteristics of the unit on which the response is recoded. Currently used methods for testing for misspecification (lack of fit) of a proposed logistic regression model do not perform well when a data set contains almost as many distinct covariate vectors as experimental units, a condition referred to as sparsity. A new algorithm for grouping sparse data to create pseudo replicates and using them to test for lack of fit is developed. A simulation study illustrates settings in which the new test is superior to existing ones. Analysis of a dataset consisting of the ages of menarche of Warsaw girls is also used to compare the new and existing lack of fit tests.     

教育服务产出核算分析

教育服务是服务核算中的一个重要部分。本文讨论教育服务的定义和服务产出的数量单位。研究教育服务的核算范围和计算教育服务产出价值的方法,以及教育服务的质量调整问题。最后,举例使用产出指标方法计算教育产出。     

Borrowing Information across Populations in Estimating Positive and Negative Predictive Values

A marker's capacity to predict risk of a disease depends on disease prevalence in the target population and its classification accuracy, i.e. its ability to discriminate diseased subjects from non-diseased subjects. The latter is often considered an intrinsic property of the marker; it is independent of disease prevalence and hence more likely to be similar across populations than risk prediction measures. In this paper, we are interested in evaluating the population-specific performance of a risk prediction marker in terms of positive predictive value (PPV) and negative predictive value (NPV) at given thresholds, when samples are available from the target population as well as from another population. A default strategy is to estimate PPV and NPV using samples from the target population only. However, when the marker's classification accuracy as characterized by a specific point on the receiver operating characteristics (ROC) curve is similar across populations, borrowing information across populations allows increased efficiency in estimating PPV and NPV. We develop estimators that optimally combine information across populations. We apply this methodology to a cross-sectional study where we evaluate PCA3 as a risk prediction marker for prostate cancer among subjects with or without previous negative biopsy.     

全国中青年统计科学研讨会的回顾与思考

 本文对历次全国中青年统计科学研讨会进行了详细的回顾与考察,针对不同的社会历史背景,根据会议的主题和成果,分析了中国统计科学在不同发展阶段的具体情况。在此基础上,对中青年统计科学研讨会的发展过程进行了深层思考,并进一步明确了中青年统计工作者的发展方向,及面临的挑战。