马克思主义与全球道德

全球道德与马克思主义是相通的。马克思主义是全球道德建设的理论基础和根本指导原则，而全球道德建设必将丰富和发展马克思主义伦理道德学说。     

Consistent Estimation of the Structural Distribution Function

Motivated by problems in linguistics we consider a multinomial random vector for which the number of cells N is not much smaller than the sum of the cell frequencies, i.e. the sample size n . The distribution function of the uniform distribution on the set of all cell probabilities multiplied by N is called the structural distribution function of the cell probabilities. Conditions are given that guarantee that the structural distribution function can be estimated consistently as n increases indefinitely although n / N does not. The natural estimator is inconsistent and we prove consistency of essentially two alternative estimators.     

Considerations for optimal nonparametric regression under a generalizederror structure

Nonparametric smoothing, such as kernel or spline estimation, has been examined extensively under the assumption of uncorrelated errors. This paper addresses the effects of potential correlation on consistency and other asymptotic properties in a repeated-measures model, using directly optimized linear smoothers of the replicate means. Unrestricted optimal weights, with respect to squared error loss, are used to confirm a lack of consistency for all linear estimators in an autocorrelated errors model. The results indicate kernel methods that work well for an uncorrelated errors model may not have the ability to perform satisfactorily when correlation is introduced, due to an asymmetry in the optimal weights, which disappears for an uncorrelated errors model. These would include data-driven bandwidth selection methods, adjustments of the bandwidth to accommodate correlation, higher-order kernels, and related bias reduction techniques. The analytic results suggest alternative approaches, not considered here in detail, which have shown merit.     

论新媒体环境下大学生思想政治教育载体创新

大学生思想政治教育活动总是通过一定的载体进行。随着数字技术的飞速发展，新媒体已经广泛渗透到人们生活的方方面面，对大学生的思想、学习和生活方式产生着深远影响。大学生思想政治教育载体应借助新媒体信息传播的优势不断创新，实现思想政治教育的网络化、现代化，进一步增强大学生思想政治教育的实效性。     

基于小波神经网络的油泵故障诊断

依据小波神经网络技术的各种优点，提出采用三层BP小波神经网络构造故障诊断模型，对油泵进行故障监测和诊断。该故障诊断方法对神经网络训练、故障特征参数提取和对应神经网络状态输出等均实现了数据库管理，对油泵多种常见故障取得了满意的诊断效果，不仅具有特征自动提取以及较强的自学习和自适应功能，而且操作维护简便。研究结果表明：信号的小波分析和神经网络识别的融合将为油泵状态监测与故障诊断系统的建立提供新的方法和更简便的途径；对油库安全维护与故障诊断具有重要意义。     

Simplified Estimating Functions for Diffusion Models with a High-dimensional Parameter

We consider estimating functions for discretely observed diffusion processes of the following type: for one part of the parameter of interest we propose to use a simple and explicit estimating function of the type studied by Kessler (2000); for the remaining part of the parameter we use a martingale estimating function. Such an approach is particularly useful in practical applications when the parameter is high-dimensional. It is also often necessary to supplement a simple estimating function by another type of estimating function because only the part of the parameter on which the invariant measure depends can be estimated by a simple estimating function. Under regularity conditions the resulting estimators are consistent and asymptotically normal. Several examples are considered in order to demonstrate the idea of the estimating procedure. The method is applied to two data sets comprising wind velocities and stock prices. In one example we also propose a general method for constructing diffusion models with a prescribed marginal distribution which have a flexible dependence structure.     

中小企业的作用与管理

我国中小企业自 1978年以来得到了长足的发展 ,但也因为它的单位规模有限 ,常给人们造成错觉而不受重视 ,甚至被否定 ,但是经济发展空间为中小企业生存与发展提供了基础。在当今 ,不仅需要认识到它在我国经济发展中能起到不可替代的作用 ,更需要看到它在深化改革进程中加强管理的迫切性。只有不断提高管理水平 ,才能适应市场需求的变化。     

社会公共领域的建构与市场经济

现代化的发展是社会技术、经济、政治、思想、文化等诸多方面要素综合作用的结果.然而,社会资源的市场配置是社会要素充分资源化而发挥其功能的重要条件,实现这一配置资源的市场配置关涉到社会结构转型问题,即发育个体与社会,建构社会公共领域,使之与国家间形成相对独立关系.实际上,市场经济与构建公共领域具有共生互动的性质.它既以个体、社会与政治公共领域的确立为条件,同时又是发育个体与社会,构建现代政治公共领域的平台.     

小型变流量电磁泵的结构优化设计

本文在介绍电磁泵的结构组成的基础上,详细介绍了采用复合形法对电磁泵进行优化设计的具体步骤。     

Alternative posterior consistency results in nonparametric binary regression using Gaussian process priors

We establish consistency of posterior distribution when a Gaussian process prior is used as a prior distribution for the unknown binary regression function. Specifically, we take the work of Ghosal and Roy [2006. Posterior consistency of Gaussian process prior for nonparametric binary regression. Ann. Statist. 34, 2413–2429] as our starting point, and then weaken their assumptions on the smoothness of the Gaussian process kernel while retaining a stronger yet applicable condition about design points. Furthermore, we extend their results to multi-dimensional covariates under a weaker smoothness condition on the Gaussian process. Finally, we study the extent to which posterior consistency can be achieved under a general model where, when additional hyperparameters in the covariance function of a Gaussian process are involved.