Bayesian analysis of mixture modelling using the multivariate t distribution

A finite mixture model using the multivariate t distribution has been shown as a robust extension of normal mixtures. In this paper, we present a Bayesian approach for inference about parameters of t-mixture models. The specifications of prior distributions are weakly informative to avoid causing nonintegrable posterior distributions. We present two efficient EM-type algorithms for computing the joint posterior mode with the observed data and an incomplete future vector as the sample. Markov chain Monte Carlo sampling schemes are also developed to obtain the target posterior distribution of parameters. The advantages of Bayesian approach over the maximum likelihood method are demonstrated via a set of real data.     

圆锥轴受扭时静、动力的传递矩阵法求解

本文提出了圆锥轴受扭时静、动力的传递矩阵。该方法简便实用,适于工程技术人员在微机上应用。     

Improving flexibility and efficiency by adding parallelism to genetic algorithms

In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our motivation is to bring some uniformity to the proposal, comparison, and knowledge exchange among the traditionally opposite kinds of serial and parallel GAs. We comparatively analyze the properties of steady-state, generational, and cellular genetic algorithms. Afterwards, this study is extended to consider a distributed model consisting in a ring of GA islands. The analyzed features are the time complexity, selection pressure, schema processing rates, efficacy in finding an optimum, efficiency, speedup, and resistance to scalability. Besides that, we briefly discuss how the migration policy affects the search. Also, some of the search properties of cellular GAs are investigated. The selected benchmark is a representative subset of problems containing real world difficulties. We often conclude that parallel GAs are numerically better and faster than equivalent sequential GAs. Our aim is to shed some light on the advantages and drawbacks of various sequential and parallel GAs to help researchers using them in the very diverse application fields of the evolutionary computation.     

“豆豆豆”品牌，点点富饶心

大连富饶企业集团“豆豆豆”系列健康食品获“辽宁省著名商标”。这事发生在2005年1月12日。稍早一天，即2005年1月11日．企业集团旗下富饶日化公司生产的化妆产品“艾肤琳美白祛斑霜”、“艾肤琳美白精华露”，“艾肤琳防晒隔离霜”又获“国家特殊用途化妆品卫生许可”。这使大连富饶企业在营造“豆豆豆”品牌的基础上，又上了一个新台阶，进一步扩大了企业产品品种和产品格局。     

鞋用聚氨酯胶粘剂的改性研究

本文以二甘醇代替其它多元醇与已二酸反应合成聚酯多元醇 ,再以合适的OH/NCO比与二异氰酸酯TDI生产聚氨酯胶粘剂 .成本低 ,各项粘接性能达到或超过同类产品 .同时利用了制备乙二醇时的副产品二甘醇 ,一举数得     

文化转型与鲁迅的直译理论

对鲁迅的直译理论和翻译实践的评价历来微词颇多,角度也多是直译与意译的“信、达、雅”之争。在多元系统论的理论框架下,鲁迅的直译理论有其文化意义和时代特征,鲁迅的直译理论所植根的思想文化土壤使其具有科学性的同时也带有必然性。     

Simulating the effect of demographic events on the household composition

The aim of this paper is to measure the effects on household composition of changes in demographic events, e.g. mortality, fertility, marriage, divorce. British household data are taken from the General Household Survey and aged by simulation to 2001 using a ‘Most Likely’ model. Subsequently different assumptions of each demographic event are taken from 1991 so that the effects of perturbations within each event can be studied. Special features of the simulation model are the differentiations between cohabitation and marriage and separation and divorce, and the detailed breakdowns of household types such as lone parents into single and previously married women and men with children aged 0–4, 5–15 and 16 and over.     

制造商竞争下闭环供应链的押金返还制度研究

本文研究制造商竞争环境下,政府对闭环供应链成员实施押金返还制度时,废旧电器电子产品的回收决策问题。首先构建了制造商完全垄断情形的闭环供应链基准决策模型,然后考虑制造商之间的竞争,分别构建政府对制造商和对回收商实施押金返还制度的闭环供应链决策模型,最后对结果进行比较和分析。研究表明：押金返还制度可以使新产品的零售价和废旧产品的回购价降低;制造商间的竞争和押金返还制度均可以提高闭环供应链中废旧电器电子产品的回收率;与对制造商实施押金返还制度的情形相比,对回收商实施押金返还制度时闭环供应链的总利润和回收率更高。     

Dynamic reliability models with conditional proportional hazards

A dynamic approach to the stochastic modelling of reliability systems is further explored. This modelling approach is particularly appropriate for load-sharing, software reliability, and multivariate failure-time models, where component failure characteristics are affected by their degree of use, amount of load, or extent of stresses experienced. This approach incorporates the intuitive notion that when a set of components in a coherent system fail at a certain time, there is a jump from one structure function to another which governs the residual lifetimes of the remaining functioning components, and since the component lifetimes are intrinsically affected by the structure function which they constitute, then at such a failure time there should also be a jump in the stochastic structure of the lifetimes of the remaining components. For such dynamically-modelled systems, the stochastic characteristics of their jump times are studied. These properties of the jump times allow us to obtain the properties of the lifetime of the system. In particular, for a Markov dynamic model, specific expressions for the exact distribution functions of the jump times are obtained for a general coherent system, a parallel system, and a series-parallel system. We derive a new family of distribution functions which describes the distributions of the jump times for a dynamically-modelled system.