考虑属性关联的两阶段获胜者确定模型

研究了多属性逆向拍卖的获胜者确定问题。考虑属性之间的两两关联，以定义在2-可加模糊测度上的Choquet积分表达拍卖人的偏好，其中模糊测度的值由拍卖人提供的偏好信息推测得出。由于一般情况下与偏好信息一致的模糊测度取值并不唯一，考虑所有一致的评分函数提出了两阶段获胜者确定方法。首先采用线性规划挑选出在任意评分函数下可能获胜的报价，再通过混合整数规划确定一个与所有一致的评分函数的评价结果最为接近的报价排序，以得分最高者为稳健获胜报价。仿真实验表明，大量的报价为不可能获胜报价，说明了在第一阶段进行筛选的必要性。与现有方法的比较表明了该方法的有效性，且在拍卖轮数较大、报价数目较多时，该方法在计算效率上更有优势。     

不动产物权变动登记外的公示方式

按现有立法,不动产物权变动的公示方式均是登记。但立法上却有不登记的例外,实践中也有这种需要。如果法律上能够明确,在一定条件下,不动产的物权变动可以以登记外的公示方式存在,它对于保障交易安全、提高交易效率具有较强的现实意义。为了减少负面效应——实施这种公示方式可能出现的问题,如二重买卖、重复抵押等,可采取相应的措施予以解决。     

我国城镇养老保险存在的问题及对策探析

文章认为 ,我国城镇养老保险虽取得了很大的成绩 ,但还存在着诸多问题 ,作者对这些问题进行探讨和分析 ,并提出了切实可行的解决对策     

Estimation of location extremes within general families of scale mixtures

In this paper, we study the estimation of the minimum and maximum location parameters, respectively, representing the minimum guaranteed lifetime of series and parallel systems of components, within a general class of scale mixtures. The conditional or underlying distribution has only the primary restriction of being a location-scale family with positive support. The mixing distribution is also quite general in that we only assume that it has positive support and finite second moment. For demonstrative purposes several special cases are highlighted such as the gamma, inverse-Gaussian, and discrete mixture. Various estimators, including bootstrap bias corrected estimators, are compared with respect to both mean-squared-error and Pitman's measure of closeness.     

毛泽东反封建思想论纲

毛泽东的反封建思想是毛泽东思想的重要组成部分 ,它由革命主题论、反封建核心论、反封建根本问题论及文化革命论等内容组成。毛泽东的反封建思想是中国民主革命及新中国前 2 8年反封建斗争实践的指导思想。但是 ,我们还应该看到 ,毛泽东的反封建思想并没有形成一个独立发展的完整思想体系 ,他长于对物质制度层面封建主义的批判 ,而对思想意识层面封建主义的批判则严重不足。这构成了整个毛泽东思想科学体系的严重不足。     

Empirical likelihood confidence intervals for the mean of a population containing many zero values

If a population contains many zero values and the sample size is not very large, the traditional normal approximation‐based confidence intervals for the population mean may have poor coverage probabilities. This problem is substantially reduced by constructing parametric likelihood ratio intervals when an appropriate mixture model can be found. In the context of survey sampling, however, there is a general preference for making minimal assumptions about the population under study. The authors have therefore investigated the coverage properties of nonparametric empirical likelihood confidence intervals for the population mean. They show that under a variety of hypothetical populations, these intervals often outperformed parametric likelihood intervals by having more balanced coverage rates and larger lower bounds. The authors illustrate their methodology using data from the Canadian Labour Force Survey for the year 2000.     

我国网络金融的发展现状与监管思路

继金融深化、金融自由化、金融国际化之后,金融网络化的问题再次成为关注的焦点。本文回顾了网络金融的发展态势及其可能对传统金融产业产生的深刻影响,对我国网络金融在发展过程中存在的主要问题进行了深入分析,在此基础上对如何加强金融监管以促进我国网络金融的健康发展提出了积极的对策建议。     

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.     

三维运动混合机的性能及其影响因素

通过混合试验对三维运动混合机的混合性能及其影响因素作了分析与研究．     

Assessing goodness-of-fit of categorical regression models based on case-control data

Demonstrated equivalence between a categorical regression model based on case‐control data and an I‐sample semiparametric selection bias model leads to a new goodness‐of‐fit test. The proposed test statistic is an extension of an existing Kolmogorov–Smirnov‐type statistic and is the weighted average of the absolute differences between two estimated distribution functions in each response category. The paper establishes an optimal property for the maximum semiparametric likelihood estimator of the parameters in the I‐sample semiparametric selection bias model. It also presents a bootstrap procedure, some simulation results and an analysis of two real datasets.