中国商品流通现代化的模糊综合评价研究

完善了商品流通现代化指标体系,并运用模糊综合法将商品流通现代化指标转换成了指数。研究发现商品流通现代化水平与其区域位置、总体经济实力密切相关,且受到产业结构的影响。同时,通过基于指数的聚类分析得到如下结论:"率先发展型区域"要抓住历史机遇,培养创新型人才,保持领先地位;"积极追赶型区域"要发挥地理优势,打破省之间、行业和部门之间、所有制之间的界限,积极参与各种区域经济合作;"流通欠发达型区域"要进一步推进和实施西部大开发战略,推进物流现代化。     

Decomposition of Variance for Spatial Cox Processes

Abstract. Spatial Cox point processes is a natural framework for quantifying the various sources of variation governing the spatial distribution of rain forest trees. We introduce a general criterion for variance decomposition for spatial Cox processes and apply it to specific Cox process models with additive or log linear random intensity functions. We moreover consider a new and flexible class of pair correlation function models given in terms of normal variance mixture covariance functions. The proposed methodology is applied to point pattern data sets of locations of tropical rain forest trees.     

中小学校长职业发展阶段分析

随着教育全球化和市场化的发展，校长职业发展成为教育界的热门话题。从普通教师到引领学校健康发展的成熟校长需要经过四个阶段：职前预备期、适应期、称职期和成熟期。不同发展时期对校长具有不同的要求，校长只有顺应这些要求不断进取，才能成长为能够为我国教育事业作出贡献的校长。     

对当代中国马克思主义大众化主体的整体性把握

人们从熟知而并非真知的"当代中国马克思主义大众化"入手,就不同层次的主体在这项复杂的系统工程中已经做了什么,应该做些什么,还需要做些什么作一个清理和回顾,显得十分必要.通过历史的整体性分析可以得出,充分利用中央及政府的政策与倡导作用,充分发挥理论工作者的学科科研功能,理性地唤起民众的主体参与精神,是进一步推动当代中国马克思主义大众化不可或缺的力量源泉.     

土族组成成分分析

本文根据《甘肃新通志》、《明实录》的记载,分析了清末13159户土族的组成情况。     

信息化在“四化”发展中的贡献度研究——基于中国省际面板数据

构建“四化”发展水平指标体系,基于2006-2013年中国省际面板数据,运用全局主成分分析法得出“四化”发展水平得分,在此基础上,对“四化”耦合发展互动关系进行计量分析.结果显示:“四化”之间存在长期均衡的协整关系;信息化对于农业现代化边际贡献度为0.231 8,弱于工业化的边际贡献;信息化对于城镇化的边际贡献度为0.702 3,强于工业化对城镇化的贡献;信息化对于工业化的边际贡献不显著.基于实证分析结果,提出加强城镇信息化建设和提升城镇化人口素质的政策建议.     

基于财政竞争力分析的福建省经济发展策略研究

财政对经济增长起着不可替代的促进作用,而财政竞争力也是经济综合竞争力的重要组成部分,分析福建省各地市的财政竞争力以寻找经济发展策略,对促进福建省经济有重大意义。本文对各地市财政收支现状进行初步比较,构建财政竞争力三级指标体系以分析财政竞争力水平,同时利用主成分因子得分分析财政竞争力与经济发展之间的关系。研究结果表明,厦门、福州及泉州财政竞争力较强,以这三个地市为例,从财政竞争实力和竞争潜力两个方面提出进一步提升财政竞争力的建议。     

创意都市农业CSA经营模式研究

依据创意都市农业的内涵及特征,分析经营主体相关成分的行为偏好及参与程度,结合不同经营时期的目标值,确定不同的主体组合方式,即：经营初期选择“农户+消费者”“农户+合作社”模式;成熟期选择“农户+消费者”“农户+合作社+企业”“农户+合作社+企业+消费者”模式。不同的CSA经营模式选择对延伸农业产业链,促进农旅结合,实现乡村可持续发展具有指导意义。     

A Comparison of Some Methods for the Selection of a Common Eigenvector Model for the Covariance Matrices of Two Groups

Two new nonparametric common principal component model selection procedures based on bootstrap distributions of the vector correlations of all combinations of the eigenvectors from two groups are proposed. The performance of these methods is compared in a simulation study to the two parametric methods previously suggested by Flury in 1988, as well as modified versions of two nonparametric methods proposed by Klingenberg in 1996 and then by Klingenberg and McIntyre in 1998. The proposed bootstrap vector correlation distribution (BVD) method is shown to outperform all of the existing methods in most of the simulated situations considered.     

On asymptotic distribution of prediction in functional linear regression

There has been substantial recent attention on problems involving a functional linear regression model with scalar response. Among them, there have been few works dealing with asymptotic distribution of prediction in functional linear regression models. In recent literature, the centeral limit theorem for prediction has been discussed, but the proof and conditions under which the random bias terms for a fixed predictor converge to zero have been ignored so that the impact of these terms on the convergence of the prediction has not been well understood. Clarifying the proof and conditions under which the bias terms converge to zero, we show that the asymptotic distribution of the prediction is normal. Furthermore, we have derived those results related to other terms that already obtained by others, under milder conditions. Finally, we conduct a simulation study to investigate performance of the asymptotic distribution under various parameter settings.