2,3──二氨基吩嗪光谱特性研究及应用

研究了各种介质中不同酸度对2，3──二氨基吩嗪（DAP）的光谱特性的影响，发现非离子表面活性剂以及极性有机溶剂对其荧光具有强烈的增敏作用，荧光量子产率大大提高，而且强极性有机溶剂在无水环境下，对其荧光增敏比非离子表面活性剂更强。建立了有机介质和非离子表面活性剂介质荧光增敏的测定方法，并对各种介质增敏机理进行了讨论。     

Occupancy numbers for dynamic heterogeneous populations: Estimate of particles lifetimes

A dynamic model of a heterogeneous population is studied. Particles belonging to a population are divided, at every time t, into a finite number of classes according to their types and the partition changes over time. The role of the occupancy numbers, namely the cardinality of each class, is highlighted. The relationship between the stochastic process of occupancy numbers and the process of particle types is analyzed. The main goal of this paper is the estimation of the lifetime of each particle at a given time t, when the observed data are the history of the process of the number of dead particles up to t. Furthermore, a discrete time approximation of the filter is given.     

Comparing relative importance of the same component in a series system in two environments

The relative performance of a component of a series system in two different environments is considered. The conditional probability of the failure of the system due to the failure of the specified component given that the system failed before time t is regarded as a measure of relative importance of the component to the system. A U-statistic test for checking the equality of the relative importance of the component to the system in two different environments against the alternative that the relative importance is smaller in one of the environments, is proposed. Some simulation results for estimating the power of the test are reported. The proposed test is applied to one real data set and it is seen that a different aspect of the data is brought out by this comparison than that by the comparisons of the absolute importance functions such as the subsurvival functions, considered in earlier studies.     

基于J2EE的第三方物流管理信息系统分析与设计

分析了第三方物流的业务流程特点和系统需求,介绍了J2EE平台的基本知识和框架特点,并结合某物流公司的物流信息平台建设,探讨了基于J2EE平台的第三方物流管理信息系统的组织结构与设计技术.     

基于环境学习曲线的山东省SO2排放及节能减排潜力分析

基于1981—2006年的数据对山东省SO2排放的规律进行研究，得到山东省SO2排放的环境学习曲线。应用这一曲线，定量分析山东省17个地级市减少SO2排放的潜力，并结合2006年各市的万元GDP能耗情况，对它们的节能减排潜力进行综合评价。     

局部环上典型群的非双曲型

引入域上典型群的生成问题所得的成果；对局部环R上典型群生成问题研究，构造度量函数及一平延，为局部环R上典型群向域F上的典型群导入，给出典型群的非双曲型．     

深度业务感知与电信网P2P业务

分析了深度业务感知的需求与现状,及其用于识别P2P的应用;对比了现有网络和NGN的区别,总结了运营商应对P2P的措施及各措施的优缺点,以及运营P2P的可能性和必要性。分析了深度业务感知现有技术的优缺点,明确了深度业务感知未能完全达到电信级要求的背景,提出了电信运营商介入P2P运营的具体方式。该运营方法与传统方法的区别在于合理利用了P2P技术的优点,是一种融合各方优势的运营模式,深度业务感知技术在其中得到了应用。     

应用EMME／2宏语言执行道路定价模型

香港的交通拥挤非常严重，而且好像并不能通过增加道路容量来解决，考虑到大多数拥挤地区空间的限制和增加道路容量所导致的潜在需求，交通规划人员和经济专家们为解决交通拥挤问题，已经把他们的注意力从交通供方面转移交通需求上。道路定价方法可构成交通需求管理战略的一部分，为交通拥挤问题提供了一个有效、公平、灵活的解决方案。香港特共政府已指定了一个咨询机构，来调查电子道路定价系统的需求，以及执行后的社会反应，为了     

Gaussian copula distributions for mixed data,with application in discrimination

The construction of a joint model for mixed discrete and continuous random variables that accounts for their associations is an important statistical problem in many practical applications. In this paper, we use copulas to construct a class of joint distributions of mixed discrete and continuous random variables. In particular, we employ the Gaussian copula to generate joint distributions for mixed variables. Examples include the robit-normal and probit-normal-exponential distributions, the first for modelling the distribution of mixed binary-continuous data and the second for a mixture of continuous, binary and trichotomous variables. The new class of joint distributions is general enough to include many mixed-data models currently available. We study properties of the distributions and outline likelihood estimation; a small simulation study is used to investigate the finite-sample properties of estimates obtained by full and pairwise likelihood methods. Finally, we present an application to discriminant analysis of multiple correlated binary and continuous data from a study involving advanced breast cancer patients.     

The robust economic statistical design of the Hotelling's T2 chart

ABSTRACT

Economic statistical designs aim at minimizing the cost of process monitoring when a specific scenario or a set of estimated process and cost parameters is given. But, in practice the process may be affected by more than one scenario which may lead to severe cost penalties if the wrong design is used. Here, we investigate the robust economic statistical design (RESD) of the T² chart in an attempt to reduce these cost penalties when there are multiple scenarios. Our method is to employ the genetic algorithm (GA) optimization method to minimize the total expected monitoring cost across all distinct scenarios. We illustrate the effectiveness of the method using two numerical examples. Simulation studies indicate that robust economic statistical designs should be encouraged in practice.