颗粒物质中熵力和组态熵的共振吸收力学谱研究

利用研制的切变波共振吸收力学谱仪测量了颗粒物质(种子、不锈钢珠)的共振吸收力学谱，发现系统的共振频率具有明显的切位移振幅效应，同时颗粒物质存在特征共振吸收峰。从这些结果，可以算出颗粒物质的熵力及熵能级差。     

双模三次激光模型的微扰解法及统计特性

采用微扰方法,得到了双模三次激光模型在不满足势条件下的相关结果.并对该模型的等时自相关和互相关系数进行了计算和讨论.     

从新《大纲》看文化差异教学

化与语言的相互依存，使化教学日益成为英语教学的重要环节。本结合新《高等学校英语专业英语教学大纲》讨论了化差异敏感性与跨化交际能力的正比关系，探讨了化差异教学的主要内容，并提出了化差异教学的教学原则。     

偶联剂修饰纳米磁性粒子红外光谱及相关分析

以三氯化铁水溶液作前驱体，采用部分还原沉淀法，通过控制一些影响反应的参数，制备纳米磁性粒子(magnetic nanoparticles，MNes)，并分别用Z-6020，Z-6030和Z-6040硅烷偶联剂对其进行表面修饰．利用红外光谱、古埃磁天平、可见光分光光度计等手段，对MNPs的表面包覆官能团、磁化率、稳定性等进行表征．红外光谱分析表明，选用不同的偶联剂修饰MNPs，可以在其表面包覆各种活性的有机基团，除都含有大量-OH之外，用Z-6020修饰的MNPs还含有-NH2和-NH；用Z-6030修饰的，还含有-C-O和-C-C；用Z-6040修饰的，还含有-C-O，-C-O-C和-C-OH．同时，用Z-6020修饰的MNPs磁化率最高，稳定性较差；用Z-6040的，磁化率次之，稳定性最好；用Z-6030的，磁化率最低，稳定性最差．     

磁化合成铁氧体催化机理的探讨

本文用磁化合成法制取了一种新型高效铁氧体催化剂,用高分辨分析电镜,测定了其晶体结构、化学组成和原子级的显微形貌;提出了一种催化机制的新见解和一个研制催化剂的新方法.     

电子碰撞Ag的L壳层电离截面的测量

作者用Si(Li)探测器测量了能量为5～2keV的电子碰撞Ag的L壳总平均电离截面；用Monte Carlo方法计算的电子反射能谱，修正了来自衬底的反射电子对测量结果的影响．作者对实验结果与Cryzinski的理论计算结果进了比较．     

平方损失下区间有界的位置参数函数极小极大估计

给出了位置参数θ区间有界时，函数ｈ（θ的极小极大估计存在的一个充分条件，并据此对一些分布的参数估计进行了讨论。     

原子光谱线变宽的因素分析

分别从经典理论和量子理论的不同角度论述了使原子光谱线变宽的各种主要因素:由于能量的不确定关系导致的自然致宽;多普勒致宽;碰撞致宽;因碰撞过程中原子能级变化而导致的压力致宽、场致宽等.通过分析,阐明了实际光谱线与理想光谱线的不同及其原因.     

Time‐simultaneous prediction band for a time series

I propose principles and methods for the construction of a time‐simultaneous prediction band for a univariate time series. The methods are entirely based on a learning sample of time trajectories, and make no parametric assumption about its distribution. Hence, the methods are general and widely applicable. The expected coverage probability of a band can be estimated by a bootstrap procedure. The estimate is likely to be less than the nominal level. Expected lack of coverage can be compensated for by increasing the coverage in the learning sample. Applications to simulated and empirical data illustrate the methods. Copyright © 2007 John Wiley & Sons, Ltd.     

Forecasting volatility by means of threshold models

The aim of this paper is to compare the forecasting performance of competing threshold models, in order to capture the asymmetric effect in the volatility. We focus on examining the relative out‐of‐sample forecasting ability of the SETAR‐Threshold GARCH (SETAR‐TGARCH) and the SETAR‐Threshold Stochastic Volatility (SETAR‐THSV) models compared to the GARCH model and Stochastic Volatility (SV) model. However, the main problem in evaluating the predictive ability of volatility models is that the ‘true’ underlying volatility process is not observable and thus a proxy must be defined for the unobservable volatility. For the class of nonlinear state space models (SETAR‐THSV and SV), a modified version of the SIR algorithm has been used to estimate the unknown parameters. The forecasting performance of competing models has been compared for two return time series: IBEX 35 and S&P 500. We explore whether the increase in the complexity of the model implies that its forecasting ability improves. Copyright © 2007 John Wiley & Sons, Ltd.