Inferences on the Among-Group Variance Component in Unbalanced Heteroscedastic One-Fold Nested Design

This article studies the hypothesis testing and interval estimation for the among-group variance component in unbalanced heteroscedastic one-fold nested design. Based on the concepts of generalized p-value and generalized confidence interval, tests and confidence intervals for the among-group variance component are developed. Furthermore, some simulation results are presented to compare the performance of the proposed approach with those of existing approaches. It is found that the proposed approach and one of the existing approaches can maintain the nominal confidence level across a wide array of scenarios, and therefore are recommended to use in practical problems. Finally, a real example is illustrated.     

复杂性:包含于组织中的无序——对复杂性本质的一种解读

复杂性源于包含于组织中的无序。包含于组织中的无序不仅组织着组织,而且导致了组织的复杂性。无序只有包含于组织中才能够导致复杂性,组织外的无序对组织的复杂性产生影响,但它不能导致组织的复杂性,只有被组织吸收,成为组织内的无序,才能构成复杂性。复杂性的所有性质都因包含于组织中的无序而产生。没有无序,组织就没有偶然性、随机性、多样性和非线性等性质,就不可能出现扰动、涨落、涌现和分岔等现象,就不能突变和进化。复杂性是包含于组织中的无序,或者说包含于组织中的无序就是复杂性。     

Summarizing the Effect of a Wide Array of Amenity Measures into Simple Components

A significant issue existing within the rural economic development literature revolves around the difficulty with sorting out the controversy of the effects of amenity activities on rural economic growth. This problem is due to the different ways amenity attributes are linked to regional economic performance. Numerous researchers utilize principal component analysis to compress groups of variables that describe attributes of natural-based amenity and quality of life into scalar measures. While principal components are good at reducing a collection of variables into single measures, they often lack interpretability because they define some abstract scores which are often not meaningful or not well interpretable in practice. We apply the simple component analysis suggested by Rousson and Gasser (2004, Applied Statistics 53, 539–555) to summarize the information in groups of variables into a limited number of simple components and improve interpretability at a modest loss of optimality. Simple components allow us to identify and interpret the effect of attributes that most influence regional economic performance so as to gain better insight into policies to preserve and advance those attributes. The same methodology is appropriate for any social science discipline when there is a need to replace a larger number of multiple indicator measurements with a smaller set.     

辽宁循环经济发展水平的主成分法评价

辽宁省是资源大省也是消耗大省,通过建立符合省情的循环经济评价体系,监测、评价循环经济发展现状及预测未来趋势,为辽宁省制定经济发展、资源利用及环保政策提供可靠依据。基于评价体系,运用主成分分析方法对辽宁省循环经济发展水平进行分析和评价。     

高效液相色谱法在苔藓植物成分分析中的应用

苔藓是一类具有特殊生理功能和重要药用价值的孢子植物,在环境评价、新型药物开发等诸多方面有着巨大的潜在应用价值。高效液相色谱(HPLC)作为复杂样品分析的重要手段,在苔藓植物成分分析方面有着广泛的应用。本文系统综述了高效液相色谱法对苔藓植物成分分析方法建立方面的研究进展,引用文献44篇。     

期待可能性理论研究

期待可能性理论作为一种刑法理论,目前已在西欧大陆法系国家及日本取得通说地位。若将该理论引入我国将对完善我国刑事立法、指导刑事司法具有重要意义。     

H_(01)~○—H_(10)~□高功率定向耦合器的改进设计

提出了一种从圆波导 TE_(01)模到矩形波导 TE_(10)模的定向耦合器的设计方法。利用这种方法设计的用于高功率回旋速调管的-50dB 定向耦合器表明,改变矩形波导尺寸可以提高对圆波导 TE_(11)模的抑制度,而调整最后两个耦合孔的距离则可以优化方向性。     

自适应多目独立成分分析

通过分析LCNN的学习方程,发现Lagrange约束项的物理本质是有监督学习的下降速率,提出了自适应LCNN(ALCNN)算法,避开了病态矩阵的问题,并将学习矩阵和独立成分求解复杂性都降到了O(n)。     

深圳股票市场成分指数的持续性分析

一、引言持续性分析(Duration Analysis)又称“生存分析”(Survival Analysis)或“风险性分析”(HazardAnalysis)。它是研究某一变量持续某种状态的时间长度的分析方法,已被广泛地应用于工程、医学和生物学等领域。70年代末,经济学家开始采用这种分析方法研究失业时间的持续性,     

“一带一路”倡议视野下重庆建设功能性金融中心优势测量*

重庆在“一带一路”倡议中有重要的区位优势。重庆“十三五”规划提出建设国内功能性金融中心,是将重庆与国家战略贯通,既立足重庆,又站在全国和世界的视角发挥重庆金融中心的功能。本文以金融功能观和金融地理学为理论基础,对重庆、成都、西安金融中心的相关指标进行评价,测量重庆金融中心发展的功能优势,以期为“一带一路”倡议下重庆建设功能性金融中心的功能定位和发展策略提供理论和实证参考。