多元正态分布广义方差区间估计的改进

讨论了多元正态分布广义方差的区间估计问题,给出了在覆盖率及长度上均优于最优仿射同变区间估计的改进估计．     

初等r-循环矩阵的几个性质

给出了初等ｒ－循环矩阵可逆的充要条件及逆矩阵的表达式;对奇异的初等ｒ－循环矩阵给出了Ａ的一个ｇ－逆Ｇ（满足ＡＧＡ＝Ａ,ＧＡＧ＝Ｇ）及Ｍｏｏｒｅ－ｐｅｎｒｏｓｅ广义逆矩阵的表达式．     

Generalized Leverage and its Applications

The generalized leverage of an estimator is defined in regression models as a measure of the importance of individual observations. We derive a simple but powerful result, developing an explicit expression for leverage in a general M -estimation problem, of which the maximum likelihood problems are special cases. A variety of applications are considered, most notably to the exponential family non-linear models. The relationship between leverage and local influence is also discussed. Numerical examples are given to illustrate our results     

吸收能力、研发合作创新激励与补贴政策

本文在前人的研究基础上建立了一个具有吸收能力的非合作研究与发展博弈模型,比较了有和没有吸收能力情况下的R&D投资影响,结果表明有吸收能力的企业R&D投资要更高,接着探讨了产品替代与互补关系下的技术溢出选择对产业的影响和社会最优选择的R&D投资水平及其补贴激励政策。     

基于GRPLS 回归的 中国经济增长影响因素分析

构造一种新的方法———岭- 偏最小二乘回归方法(它既有效消除了因素变量之间的多 重共线性,又克服了传统方法的不足,且使模型更加稳健,具有更强的预测和分析能力) ;并运 用广义岭- 偏最小二乘回归方法分析了我国经济增长的影响因素,为我国制订持续、快速增长 的经济政策提供了有益的参考.     

基于混合智能算法的电子市场供应链期权合同协调

在电子市场环境下,考虑了需求、市场价格和市场准入程度的随机性,基于Stack-erlberg主从对策,建立了供应链期权合同协调的随机期望值模型。在这一主从对策模型中,主方供应商的目标函数是预期利润,决策变量是期权合同预订费用和执行费用;从方分销商的目标函数是预期利润,决策变量是订货量。应用包括随机模拟、人工神经元网络和遗传算法组成的混合智能算法求解该主从对策问题。最后,结合上海宝钢集团益昌公司电子商务的运作实例,运用混合智能算法进行了仿真计算与分析。     

夫妻一方举债案件中的当事人确定和嗣后救济

“夫妻共同债务”与 “连带债务”在债务发生原因和债务履行上存在差别,对其进行诉讼时,诉讼形式应为固有的必要共同诉讼。当债权人仅起诉名义举债人一方时,可能构成诉讼被告不适格。借鉴德日诉讼要件理论,法院可以对当事人适格问题进行“职权调查”,但所采用的诉讼资料应遵循“辩论主义”。在此基础之上,应明确法院的释明权适用情形,即通过对已经参加诉讼的当事人进行释明来改变诉的不合法状态。若因法院在此审判阶段释明权适用不到位,而最终不合法的诉获得了无法顺利执行的实体判决,债权人想要获得圆满救济仅能依靠再审。     

接点治理：论精准扶贫过程中的“村民评议”——对湘西B村的个案研究

作为深入乡土社会的“事件”,精准扶贫触发了国家政权和乡土社会之间的分歧。在数字化治理技术与乡土生活模糊性之间、国家正式权力与农村内生秩序之间、“区分逻辑”与乡土社会“平均主义”之间,两者存在明显差异。面对分歧,农村基层在精准扶贫过程中采取“村民评议”制度形成“接点治理”格局。研究发现,村民评议形成的接点治理主要包括以下治理机制：以熟人社会构成治理的信息机制,以多元主体参与构成治理的权威机制,以协商讨论构成治理的合法化机制。这一制度创造了新型制度场域和治理接点,有利于实现国家政权与乡土社会之间的融合。推进对湘西B村“村民评议”的个案分析,发掘其中的治理机制,完善其中存在的不足,实现从接点分离到接点融合,推进基层社会的有效治理。     

An approximation of the distribution function of the LIML identifiability test statistic using the method of moments

This paper contains an application of the asymptotic expansion of a pFp() function to a problem encountered in econometrics. In particular we consider an approximation of the distribution function of the limited information maximum likelihood (LIML) identifiability test statistic using the method of moments. An expression for the Sth order asymptotic approximation of the moments of the LIML identifiability test statistic is derived and tabulated. The exact distribution function of the test statistic is approximated by a member of the class of F (variance ratio) distribution functions having the same first two integer moments. Some tabulations of the approximating distribution function are included.     

A method for choosing the smoothing parameter in a semi-parametric model for detecting change-points in blood flow

In a smoothing spline model with unknown change-points, the choice of the smoothing parameter strongly influences the estimation of the change-point locations and the function at the change-points. In a tumor biology example, where change-points in blood flow in response to treatment were of interest, choosing the smoothing parameter based on minimizing generalized cross-validation (GCV) gave unsatisfactory estimates of the change-points. We propose a new method, aGCV, that re-weights the residual sum of squares and generalized degrees of freedom terms from GCV. The weight is chosen to maximize the decrease in the generalized degrees of freedom as a function of the weight value, while simultaneously minimizing aGCV as a function of the smoothing parameter and the change-points. Compared with GCV, simulation studies suggest that the aGCV method yields improved estimates of the change-point and the value of the function at the change-point.