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。     

论电子场景下现代科学教育的重塑

历史上的科学教育经历了由“专才教育”向“通识教育”再到“通才教育”转变的过程。“通才教育”在现代社会发挥着重要的人才培养功能,但 IT(电子信息)技术在现代科学教育中所形成的特定“电子场景”使得科学教育致力于追求普遍显性知识的“通识教育”,一定程度上缺失了隐性意会知识的养成,而后者是现代“通才教育”所必需的。现代科学教育应该重塑“通才教育”,其本质是一种显性知识与隐性知识相结合的 STS 教育。     

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.     

基于主成分logistic回归模型的餐饮商务信息意识研究

数据挖掘技术日趋成熟,广泛应用于金融、地产、投资、评估等各个领域。数据挖掘技术亦可应用于餐饮业,为其经营决策做出分析。其他领域的数据挖掘的成功案例也可以引用到餐饮行业中。本文对餐饮人士在餐饮商务中是否具备信息意识、对信息意识的重视程度进行调查,利用数据挖掘中主成分分析和 logistic 回归处理和分析收集来的数据,从而说明数据挖掘在餐饮业管理中的重要意义,反映餐饮人士信息意识状况。利用数据挖掘技术对餐饮商务资讯进行管理势必提高企业效率和盈利水平,促进餐饮业健康稳定的发展。     

增强应用型人才的实践能力——渐进式应用型人才培养体系

本文针对本科教育存在重理论,轻实践的问题,提出"渐进式应用型人才培养体系"。该体系由"基础知识训练、基础技能训练、应用技能训练、灵活应用知识、生产演习、工作"六个环节构成。渐进式应用型人才培养体系现已在三江学院02级电子科学与技术专业学生中试用成功,并已推广到电子信息工程、通信技术等专业的教育教学中。据统计接受过该系统教育与培养的学生,对于操作能力、人际关系处理能力、观察力等方面的提高起到一定的应用作用。     

SIMPCA: a framework for rotating and sparsifying principal components

We propose an algorithmic framework for computing sparse components from rotated principal components. This methodology, called SIMPCA, is useful to replace the unreliable practice of ignoring small coefficients of rotated components when interpreting them. The algorithm computes genuinely sparse components by projecting rotated principal components onto subsets of variables. The so simplified components are highly correlated with the corresponding components. By choosing different simplification strategies different sparse solutions can be obtained which can be used to compare alternative interpretations of the principal components. We give some examples of how effective simplified solutions can be achieved with SIMPCA using some publicly available data sets.     

Classical testing in functional linear models

We extend four tests common in classical regression – Wald, score, likelihood ratio and F tests – to functional linear regression, for testing the null hypothesis, that there is no association between a scalar response and a functional covariate. Using functional principal component analysis, we re-express the functional linear model as a standard linear model, where the effect of the functional covariate can be approximated by a finite linear combination of the functional principal component scores. In this setting, we consider application of the four traditional tests. The proposed testing procedures are investigated theoretically for densely observed functional covariates when the number of principal components diverges. Using the theoretical distribution of the tests under the alternative hypothesis, we develop a procedure for sample size calculation in the context of functional linear regression. The four tests are further compared numerically for both densely and sparsely observed noisy functional data in simulation experiments and using two real data applications.     

基于钻石模型的重庆自贸区跨境电商创新发展的路径研究

重庆自贸区跨境电商在推进重庆建设内陆国际物流中心、内陆服务贸易中心、内陆功能性金融中心中起到了重要作用。运用波特钻石模型对重庆自贸区跨境电商进行分析，从生产要素、需求条件、相关与支持产业、竞争对手、发展机会、政府作用六个方面，构建模型分析各种影响因素，研究重庆自贸区跨境电商的现状及比较优势，提出创新发展的路径。