中国农村发展水平因子分析

"三农"问题已成为制约中国经济社会发展的瓶颈性因素,而要有效地解决"三农"问题,首先要对中国不同地区农村发展水平做出相对客观的评价。选取一系列的评价指标,运用多元统计分析中的因子分析方法,30个省区的农村发展水平作整体综合分析,得出各地区农村发展水平的概况,并在此基础上指出了各地区解决农村发展问题的重点。     

辽宁省农村居民消费存在问题、原因及对策

"十五"期间和未来十年是中国经济发展的重要时期,江泽民同志在党的十六大报告中指出"建设现代农业,发展农村经济,增加农民收入,是全面建设小康社会的重大任务".本研究利用近年来辽宁省农村居民生活消费资料和农村住户调查资料,系统地分析农村居民消费存在问题并剖析原因、提出政策建议.以期为政府部门了解农村居民消费状况,合理调整农业产业结构,增加农村居民收入,引导农村居民消费,促进农村经济持续、健康发展提供参考.     

乡镇财政困难对基层政权的影响

目前,我国大部分乡镇出现了财政收支矛盾尖锐、债务负担沉重的财政困难,从而导致乡镇政权功能退化,影响基层政权的正常运转,并引发政府信用危机和农村社会政治的不稳定。高度重视并积极解决乡镇财政困难对于基层政权建设和农村政治发展具有重要意义。     

高校党建工作必须围绕发展第一要务

论述了高校党建工作必须围绕发展第一要务是由中国共产党的性质、社会主义社会的主要矛盾和高等教育事业的属性决定的理论依据,结合实际阐释了高校党建工作围绕发展第一要务的基本途径和要处理好的几个关系。     

王国维翻译思想概述

王国维的译论可概括为:"忠于"原文、概念"精确"、保持"神韵"、力求"易解",强调译者理解原语的能力、深厚的译入语素养、"历史之见地"。这些翻译原则丰富了中国翻译理论。     

Kernel Density Estimation with Generalized Binning

We propose kernel density estimators based on prebinned data. We use generalized binning schemes based on the quantiles points of a certain auxiliary distribution function. Therein the uniform distribution corresponds to usual binning. The statistical accuracy of the resulting kernel estimators is studied, i.e. we derive mean squared error results for the closeness of these estimators to both the true function and the kernel estimator based on the original data set. Our results show the influence of the choice of the auxiliary density on the binned kernel estimators and they reveal that non-uniform binning can be worthwhile.     

试论发展消费信贷及重点选择

消费信贷作为一项新兴银行业务 ,在我国发展有着极其重要的现实意义。消费信贷的主体是消费者和金融机构 ,政府则要做好行为规则的制定和实施工作。在消费信贷的重点选择上 ,农村以耐用消费品、文化教育等为重点 ,城市应以住房、教育、旅游等为重点 ,但其前提是要解决预期净收入下降 ,现期收入水平不高从而导致偿债能力不足与相应商品或服务需求显著增强的矛盾 ;解决问题的根本的出路是采取有力措施增加城乡居民的收入 ,完善各项配套制度。     

Bootstrap confidence regions computed from autoregressions of arbitrary order

Given a linear time series, e.g. an autoregression of infinite order, we may construct a finite order approximation and use that as the basis for confidence regions. The sieve or autoregressive bootstrap, as this method is often called, is generally seen as a competitor with the better-understood block bootstrap approach. However, in the present paper we argue that, for linear time series, the sieve bootstrap has significantly better performance than blocking methods and offers a wider range of opportunities. In particular, since it does not corrupt second-order properties then it may be used in a double-bootstrap form, with the second bootstrap application being employed to calibrate a basic percentile method confidence interval. This approach confers second-order accuracy without the need to estimate variance. That offers substantial benefits, since variances of statistics based on time series can be difficult to estimate reliably, and—partly because of the relatively small amount of information contained in a dependent process—are notorious for causing problems when used to Studentize. Other advantages of the sieve bootstrap include considerably greater robustness against variations in the choice of the tuning parameter, here equal to the autoregressive order, and the fact that, in contradistinction to the case of the block bootstrap, the percentile t version of the sieve bootstrap may be based on the 'raw' estimator of standard error. In the process of establishing these properties we show that the sieve bootstrap is second order correct.     

Association of educational level and child sex ratio in rural and urban India

Utilizing data from the Census of India, this study compared child sex ratio in rural and urban regions of India and analyzed whether the child sex ratio was associated with mother’s education level. The child sex ratios in the rural and urban regions throughout India were analyzed using the two-sample and paired Student’s t-test. Further, the Chi-square test for trend in binomial proportions was used to assess the association between child sex ratios and mother’s education levels in rural and urban areas. Analysis of the data showed that there was a significant difference between the child sex ratios in rural areas versus urban areas. In addition, the Chi-square test for trend showed that there was a significant association of the child sex ratio and the educational levels of their mothers. This trend occurred in both rural and urban areas.     

供应链物流客户服务水平的评价

为了科学地评价供应链物流客户服务水平,文章从交易前、交易中和交易后三个维度建立了供应链物流客户服务评价评价指标体系:然后运用DEMATAL方法对众多的观测指标进行了优化和降维.最后,在指标体系基础上,采用网络层次分析方法analytic networks process(ANP)对各评价指标的权重进行计算.