Independence test in high-dimension using distance correlation and power enhancement technique

Abstract

This paper is concerned with independence test in high-dimension. A new test statistic is proposed with two terms: one is based on the modified distance correlation statistic, the other is constructed to enhance the power under sparse alternatives. Asymptotic properties of the test statistic are discussed under some regular conditions. The finite-sample simulations exhibit its superiority over some existing procedures. Finally, a real data example illustrates the proposed test.     

FDI 对安徽省装备制造业发展的影响分析

外商直接投资（FDI）在拓宽国内资金需求渠道的同时,具有较强的技术溢出效应,迎合了装备制造业资本和技术密集的双重特征。当前,安徽省装备制造业处在资本密集型占主导的发展阶段,对 FDI的偏好性较强。研究表明,安徽省装备制造业与FDI间具有较强的相关性,FDI能够有效促进安徽省装备制造业发展,但安徽省装备制造业对FDI的吸引力较弱,且各具体行业对 FDI依赖程度存在较大差异。据此提出相应的建议,一方面,安徽省应注重装备制造业转型升级,提升行业整体竞争力;另一方面,要优化投资环境,增强安徽省装备制造业对FDI的引致能力。     

Testing Serial Correlation in Partially Linear Additive Errors-in-variables Models

This article considers testing serial correlation in partially linear additive errors-in-variables model. Based on the empirical likelihood based approach, a test statistic was proposed, and it was shown to follow asymptotically a chi-square distribution under the null hypothesis of no serial correlation. Finally, some simulation studies are conducted to illustrate the performance of the proposed method.     

Intraday Serial Correlation,Volatility, and Jump: Evidence from China's Stock Market

In this article, we investigate the relationships among intraday serial correlation, jump-robust volatility, positive and negative jumps based on Shanghai composite index high frequency data. We implement variance ratio test to quantify intraday serial correlation. We also measure the continuous part of realized volatility using jump-robust MedRV estimator and disentangle positive and negative jumps using Realized Downside Risk Measure and Realized Upside Potential Measure proposed by Bi et al., (2013 Bi, T., Zhang, B., Wu, H. (2013). Measuring downside risk using high frequency data–realized downside risk measure. Communications in Statistics–Simulation and Computation 42(4):741–754.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). We find that intraday serial correlation are positively correlated with jump-robust volatility and negatively correlated with negative jumps which confirm the LeBaron effect.     

Power analysis for clustered non-continuous responses in multicenter trials

Power analysis for multi-center randomized control trials is quite difficult to perform for non-continuous responses when site differences are modeled by random effects using the generalized linear mixed-effects model (GLMM). First, it is not possible to construct power functions analytically, because of the extreme complexity of the sampling distribution of parameter estimates. Second, Monte Carlo (MC) simulation, a popular option for estimating power for complex models, does not work within the current context because of a lack of methods and software packages that would provide reliable estimates for fitting such GLMMs. For example, even statistical packages from software giants like SAS do not provide reliable estimates at the time of writing. Another major limitation of MC simulation is the lengthy running time, especially for complex models such as GLMM, especially when estimating power for multiple scenarios of interest. We present a new approach to address such limitations. The proposed approach defines a marginal model to approximate the GLMM and estimates power without relying on MC simulation. The approach is illustrated with both real and simulated data, with the simulation study demonstrating good performance of the method.     

The covariance of the backward and forward recurrence times in a renewal process: the stationary case and asymptotics for the ordinary case

In a Poisson process, it is well-known that the forward and backward recurrence times at a given time point t are independent random variables. In a renewal process, although the joint distribution of these quantities is known (asymptotically), it seems that very few results regarding their covariance function exist. In the present paper, we study this covariance and, in particular, we state both necessary and sufficient conditions for it to be positive, zero or negative in terms of reliability classifications and the coefficient of variation of the underlying inter-renewal and the associated equilibrium distribution. Our results apply either for an ordinary renewal process in the steady state or for a stationary process.     

棉籽壳价格变动轨迹及其对食用菌生产的影响——基于2010-2012年我国棉籽壳价格分析

分析了2010年1月至2012年2月间我国棉籽壳的价格变动轨迹以及近10年来的棉籽壳供求特征,运用灰色关联法分析棉籽壳价格变动对食用菌市场价格的影响.结果表明：我国棉籽壳价格变动幅度较大;棉籽壳处于供不应求的状态,且这种供求关系在不同地区表现出较大差异;食用菌生产对棉籽壳具有较强的依赖;棉籽壳价格波动对食用菌市场价格具有重要影响.提出了促进我国食用菌产业发展的对策建议：加大科研力度,寻找食用菌基料新配方,降低食用菌生产对棉籽壳依赖程度;建立棉籽壳交易中心,完善棉籽壳交易机制,平抑棉籽壳价格波动,保证棉籽壳供应,提高菇农收入;增加棉籽壳进口,从海外市场寻求棉籽壳供给.     

项目档案验收的综合评价方法

提高项目档案的资源开发和利用率,档案质量的优劣是一个关键性的基础,因此,档案质量的综合评价就成为一个需要深入研究的课题.基于灰色系统关联度分析的综合评价方法充分考虑了影响档案质量的各种因素,并且综合了各因素的相对重要程度,能够为档案质量的评价提供科学的依据和理论指导,实用性强.     

长三角高技术产业同构对区域经济增长影响的研究——基于空间计量经济的实证分析

本文从空间经济的视角研究产业同构对区域经济增长的影响,考虑到长三角高技术产业间有较强的空间相关性和溢出效应,采用空间计量模型对2009年长三角16市的数据进行分析,研究发现长三角高技术产业同构对区域经济增长有促进作用。     

初中生学业自我概念与学业成就的相关研究

自我概念是心理学中一个非常重要的研究领域 ,具有浓厚的民族化和本土化色彩。而学业自我概念是青少年自我概念发展中的一个重要内容 ,对其学习、生活等有很大影响。本研究采用自编学业自我概念调查问卷对初中生学业自我概念与学业成就进行相关分析 ,考查学业自我概念的性别、年级特点以及不同学业成就组学生学业自我概念的特点。结果表明 :初中生学业自我概念与学业成就相关显著 ,不同学业成就组学生的学业自我概念差异显著 ;学业自我概念中的言语自我、一般自我性别差异显著 ;学业自我概念各方面年级差异显著