对延边民间投资状况的几点思考

近几年来,延边民间经营性投资正保持较好的发展势头,但存在的问题也比较突出。从延边民间拥有资金数额分析,启动民间投资的潜力很大。从调查看,延边民间投资难以启动的原因主要是:缺乏完善的投资导向机制;缺乏推动民间投资的有效平台和载体,缺乏良好的投资环境。因此,只有积极构筑促进民间投资的有效平台,开放投资领域,提供投资载体,简化行政审批,提高行政效率,建设良好的社会投资环境,保护投资者利益,才能保证民间经营性投资保持良好的发展势头。     

中国电信业全要素生产率及发展阶段差异研究

选用基于非参数Malmquist指数法对2001—2010年期间中国电信业的全要素生产率(TFP)进行测算和分解,重点研究了中国电信业TFP的构成及其不同发展阶段的差异,同时进行了横向对比研究,尝试探索了电信业TFP变动的时序特征,揭示了差异演变的内在规律和机制,并进一步讨论了改革的成效及电信业不同发展阶段的差异性。     

我国城市商业银行跨区域发展与经营效率提升研究—基于理论分析及美国的经验启示

城市商业银行是现代金融业和区域经济发展的产物,相对于传统的商业银行,其经营灵活、成长性强、创新性高。但城市商业银行由于其发展时间较短,经营管理及风险控制存在一定的问题。从风险管理、区域限制、产业依赖等角度,运用SBM-Undesirable模型及Bootstrap纠偏技术分析测算了我国54家城市商业银行2010~2014年的经营效率及特征。研究发现：城市商业银行经营效率与风险管理水平存在阶段性正相关关系;城市商业银行经营效率对当地产业有较强的依赖性;跨区域经营有利于城市商业银行的资源优化配置,实现经营效率的提高。     

基于神经网络的投资基金周净值预测

利用神经网络理论的辨识特性,建立了基金周净值预测的BP神经网络预测模型.通过对具有代表性的投资基金“基金金泰”的实证分析,表明该模型具有很好的非线性反映能力和学习能力,能准确预测基金周净值的变化趋势和上升与下降趋势的转折点,为预测基金净值未来走势提供了一个有效的方法.     

脊波导回旋管的大信号分析

本文在建立脊波导大回旋半径回旋管模型的基础上,对此回旋管做了非线性理论计算和分析,给出了脊波导场和QP_W公式的表达式。对于脊波导TE_(101)、TE_(301)模式电子回旋基波和回旋三次谐波工作的三种回旋管情形做了详细的计算。结果指出,TE_(301)回旋三次谐波工作的回旋管有51％的高效率。     

金属与型壳界面作用对精铸件表面质量的影响

讨论金属与型壳界面作用对精铸件表面粗糙度和粘砂缺陷的影响。面层涂料中加入少量氧化铁，可有效地防止钢铁精铸件的表面粘砂缺陷。     

PREDICTION OF THE FINITE POPULATION DISTRIBUTION FUNCTION UNDER GAUSSIAN SUPERPOPULATION MODELS

This article considers optimal prediction of the finite population distribution function under Gaussian superpopulation models, which allows auxiliary prior information to be incorporated into the estimation process. Large sample approximations for the variance of the optimal predictors are derived in some special important cases. A small scale Monte Carlo study illustrates comparisons between the optimal predictor and some others which are proposed in the literature. The conclusion is that the optimal predictor can be considerably more efficient in situations where the normal superpopulation model is adequate.     

Estimation of Population Variance from Multi-ranker Ranked Set Sampling Designs

In this article, we develop an estimator for a population variance based on a multi-ranker ranked set sampling design. In a multi-ranker design, the units are ranked by more than one ranker allowing ties whenever the confidence level of the rankers is low. The ranking information of all rankers is then combined in a meaningful way to create a single measure. This measure is used to construct the sampling design and a new estimator for the population variance. The article investigates the bias and relative efficiency of the proposed variance estimator. It is shown that the new estimator performs as good as or better than its competitors in the literature.     

An efficient cross-validation algorithm for window width selection for nonparametric kernel regression

This paper presents an approach to cross-validated window width choice which greatly reduces computation time, which can be used regardless of the nature of the kernel function, and which avoids the use of the Fast Fourier Transform. This approach is developed for window width selection in the context of kernel estimation of an unknown conditional mean.     

Social Return on Investment Analysis

This article uses a social return on investment (SROI) methodology to analyze the social impact of a social enterprise offering a job and skills training program to an unemployed, largely female population. The social enterprise is based in Toronto (Canada) and run by a nonprofit agency dedicated to the advancement and empowerment of women, primarily immigrants, through access to employment. We focus our analysis on a job and skills training program that provides clients with the skills and tools that they need to successfully seek employment in their efforts to (re‐)enter the Canadian labor market. Our goal is to determine the tangible and intangible program outcomes by applying and testing the SROI methodology.