Estimation and testing of time-varying coefficient regression models in the presence of linear restrictions

A linear regression model with random walk coefficients is extended to allow for linear restrictions between the coefficients to be satisfied at each point in time. Estimation in this model is shown to be no more involved than estimation in the standard model. It is also demonstrated how, after a slight modification to the testing problem, classical test procedures may be applied to the problem of testing for such restrictions. The performance of the Lagrange Multiplier test for a variety of different restrictions is then investigated via simulation. An empirical application involving testing for homogeneity in a random walk coefficient version of the AIDS model is given.     

平面弹性连杆机构的KED分析

本文放弃了文献中引用的运动学假设和瞬时结构假定,考虑了刚体运动和弹性变形运动之间的耦合项,分析了梁的横向位移对轴向应变的影响。利用虚位移原理和达明贝尔原理,建立了构件和系统的运动微分方程式。以四杆较接机构为例,进行了KED分析。从所得结果可以看出,本文更好地反映出弹性对机构动态误差的影响。     

溶剂化缔合物模型与溶解度

提出了一种适合于研究非理想溶液的溶剂化缔合物模型.借助该模型,对物质的溶解度在定量和半定量的水平上进行了研究,并获得了满意的结果。     

中能区反质子与原子核散射的极化度

在已获得的中能区反质子与核的中心势的光学势基础上,把光学势扩大到包含自旋轨道耦合势.在反质子能量为179.8,294.8和508MeV各情况下,分别计算和分析与~(12)C靶核的微分截面(dσ)/(dΩ),极化度P(θ)和自旋转动函数Q(θ).在与极化度的实验比较中,得到中能区普遍形式的反质子光学势.     

jj耦合g因子

本文从矢量模型出发，导出纯ｊｊ耦合下ｇ因子表达式，并证明了当近似取ｇｓ＝２时，该式等价于量子力学的ｇ因子矩阵略去非对角元的结果，说明了矢量模型的近似程度。     

人体形态学参数的回归方程

在汉纳范模型的基础上，增加了３个有关躯干的围度指标。通过代表人体主要特征的形态学参数，利用逐步回归分析法，建立回归方程。用以预测那些不易测准或需专门测量仪器检测的参数，简化了模型的个体化过程。     

数学规划模型的建模语言（FQL）

对数学规划模型的结构作了深入分析。从纵向揭示了数学规划模型自然、清晰的层次结构；横向又把复合模型分解成若干基本模型，而基本模型又可由决策用户十分熟悉的二维形式加以描述。在此基础上，给出了建模语言（ＦＱＬ）的语法和语义。它除了具有建模能力外，消除了代数形式的索引；更重要的是具有数据库查询和模型操作能力。     

A ground‐level ozone forecasting model for Santiago,Chile

A physically based model for ground‐level ozone forecasting is evaluated for Santiago, Chile. The model predicts the daily peak ozone concentration, with the daily rise of air temperature as input variable; weekends and rainy days appear as interventions. This model was used to analyse historical data, using the Linear Transfer Function/Finite Impulse Response (LTF/FIR) formalism; the Simultaneous Transfer Function (STF) method was used to analyse several monitoring stations together. Model evaluation showed a good forecasting performance across stations—for low and high ozone impacts—with power of detection (POD) values between 70 and 100%, Heidke's Skill Scores between 40% and 70% and low false alarm rates (FAR). The model consistently outperforms a pure persistence forecast. Model performance was not sensitive to different implementation options. The model performance degrades for two‐ and three‐days ahead forecast, but is still acceptable for the purpose of developing an environmental warning system at Santiago. Copyright © 2002 John Wiley & Sons, Ltd.