Efficient Estimation in Heteroscedastic Partially Linear Varying Coefficient Models

This article considers statistical inference for the heteroscedastic partially linear varying coefficient models. We construct an efficient estimator for the parametric component by applying the weighted profile least-squares approach, and show that it is semiparametrically efficient in the sense that the inverse of the asymptotic variance of the estimator reaches the semiparametric efficiency bound. Simulation studies are conducted to illustrate the performance of the proposed method.     

Quadratic estimators of covariance components in a multivariate mixed linear model

It is known that the Henderson Method III (Biometrics 9:226–252, 1953) is of special interest for the mixed linear models because the estimators of the variance components are unaffected by the parameters of the fixed factor (or factors). This article deals with generalizations and minor extensions of the results obtained for the univariate linear models. A MANOVA mixed model is presented in a convenient form and the covariance components estimators are given on finite dimensional linear spaces. The results use both the usual parametric representations and the coordinate-free approach of Kruskal (Ann Math Statist 39:70–75, 1968) and Eaton (Ann Math Statist 41:528–538, 1970). The normal equations are generalized and it is given a necessary and sufficient condition for the existence of quadratic unbiased estimators for covariance components in the considered model.     

LLSM在群体判断中的推广和应用

首先分析了对数最小二乘排序法的特点,说明它是一种值得重视的好方法;并进一步阐述了这一方法的基本原理,着重地对群体判断下求加权的综合排序向量的方法进行了严密的数学推导;提出了在加权的综合排序中权重系数确定的新見解,并举例子以解释。     

短波近红外光谱的盐酸环丙沙星粉末药品的定量分析

利用漫反射法获得环丙沙星短波近红外光谱(700-1100nm),采用化学计量学中的偏最小二乘法(PLS),选取不同的波长范围及不同的光谱预处理方法(一阶导数和和二阶导数)对光谱进行信息提取和分析,对盐酸环丙沙星粉末药品进行了无损非破坏定量分析,以样品中盐酸环丙沙星为活性成分建立了最佳的数学校正模型。讨论了主成分数对PLS模型定量预测能力的影响,并做了比较。     

负载型铑催化剂催化苯乙酮的多相不对称氢化反应的研究

研究了苯乙酮在负载型铑催化剂催化下的多相不对称氢化反应,结果表明在以1%Rh-γ-Al2O3-2TPPTS和1%Rh-SiO2-2TPPTS为催化剂,(1S,2S)-二苯基乙二胺(DPEN)为手性修饰剂和一定量的KOH用于苯乙酮的不对称加氢反应,在反应条件为40oC,5MpaH2下,显示出好的催化活性,苯乙酮加氢产物的对映选择性分别达到了22.5%和25.4%。     

非对称信息市场理论对规范中国劳动力市场秩序的启示

信息不对称是导致中国劳动力市场秩序混乱的主要原因之一。斯宾塞的劳动力市场模型解决了信息非对称条件下的均衡实现问题,同时也揭示了信息不对称下均衡效率低下、劳动力市场混乱的事实。运用这一模型对我国劳动力市场存在的问题作了进一步解释,并提出了规范我国劳动力市场的对策。     

建筑节能激励政策的非对称博弈分析

本文探讨了建筑节能领域中政府与房地产商群体之间的非对称博弈问题,分析了该博弈所具有的模仿者动态模型、斯坦克尔伯格模型的特点,并构造了两者关于建筑节能激励政策的非对称博弈模型,最后对双方分别提出了博弈策略建议。     

公开市场操作公告对中国股市交易行为的影响

基于MRR结构模型,利用广义矩估计方法,从信息不对称和流动性成本角度考察了央行公开市场操作公告对股票市场交易行为的影响。实证结果表明,公开市场操作披露前股票市场的信息不对称程度、流动性成本并未发生显著变化,公开市场操作披露后30分钟内,信息不对称程度增加,流动性成本下降。在考虑了公开市场操作未预期的利率变化具体内容后,所得结果并没有显著变化。     

A Comparison of Partially Adaptive and Reweighted Least Squares Estimation

The small sample performance of least median of squares, reweighted least squares, least squares, least absolute deviations, and three partially adaptive estimators are compared using Monte Carlo simulations. Two data problems are addressed in the paper: (1) data generated from non-normal error distributions and (2) contaminated data. Breakdown plots are used to investigate the sensitivity of partially adaptive estimators to data contamination relative to RLS. One partially adaptive estimator performs especially well when the errors are skewed, while another partially adaptive estimator and RLS perform particularly well when the errors are extremely leptokur-totic. In comparison with RLS, partially adaptive estimators are only moderately effective in resisting data contamination; however, they outperform least squares and least absolute deviation estimators.     

论电信企业客户信用管理系统的构建

电信业发展过程中,呆坏账是一个普遍的问题,而且给电信企业的经营也带来了不小的影响。尽管形成我国电信呆坏账的原因有许多,但信用大环境的缺失和电信企业对客户信用管理的不足是最主要的方面。电信企业应在清醒认识信用本体和自身管理方面不足之后,采取措施,逐步建立起有效、动态的企业客户信用管理系统,改善当前的信用管理,才能较好地解决问题。