Research on Some Qusetions About Selection of Independent Variables

The paper studies four methods about selection of independent variables in multivariate analysis.In general condition,advanced statistical method and bachward statistical method could not obtain the best subset of independent variables.It is possibly affected by the orders of variables of associations amog variables.When multicollinearity is presented in a set of explanatory variables-abnormal state,it is not effective to use the method,although stepwise regression and optimum selecting method of total subsets is widely used.According to this case,the paper proposes a new method which combines deleting variables with ingredient analysis and is used in research and science practically.The important characteristic of this paper is that it gives some examples to support each conclusion.     

ON THE ONE-SIDED LOGARITHMIC LAW FOR ARRAYS

1.IntroductionLet{X.,n2l}beasequenceofindependentandidenticallydistributed(i.i.d.)randomvariables.TheHartmanandWintner,sllllawoftheiteratedlogarithmstatesthatifEXI~0andEX7=1Moreover,itisprovedin[2]and[3]that(1)holdsifandonlyifEXI~0andEX7=1.Nowlet{Xnk,k=1,2,''tntn~1,2,'.}beanarrayofi.i.d.randomvariables.FOreveryn21setS.~Z:--,X.k'ThealmostsureconvergenceofSahasbeenstlldiedbyHu,MoriczandTaylor[41,HuandWeb.rls]andQi[6].HuandWeber[5]showedundertheconditionsEXll=0,EX7,=1andEXt,相似文献   

不良贷款有无回收判别:一类可选变量的支持向量机方法

针对不良贷款有无回收判别问题中属性变量数目多、示性变量比例高的特点,提出了一类可选择变量的支持向量机方法进行判别预测.该方法一是将逐步回归的支持向量机思想应用在模型变量的选择上,二是将线性逐步回归的结果作为模型选择变量的初始状态,解决了传统支持向量机只能使用固定变量的问题. 实证结果显示,该方法不仅提高了样本外预测的正确率, 而且具有很好的稳健性.     

用于离散变量因果分析的贝叶斯网络学习

针对现有基于贝叶斯网络离散变量因果分析方法具有低效率和局限性等问题.使用依赖分析方法建立贝叶斯网络骨架,结合碰撞识别方法、变量之间的预测能力和描述长度极小准则确定边的因果方向,进行具有多项式复杂度的离散变量因果贝叶斯网络学习来避免这些问题,并给出了因果贝叶斯网络中定量因果信息传递计算方法.同时,针对小样本情况建立了因果最大似然树学习方法.     

基于区间二型模糊集的模糊等价关系聚类分析

传统聚类算法在解决含有不确定性的聚类问题时具有很大的局限性,为了更好地解决聚类问题中的不确定性,论文基于区间二型模糊集理论,提出了基于二型模糊等价关系的聚类分析算法.论文首先将语言变量信息完整地转化为区间二型模糊集,接着把语言变量和区间二型模糊集的优势相结合,通过区间二型模糊集的Jaccard相似度,提出了基于区间二型模糊语言变量的模糊等价关系聚类分析新方法,并设计了具体的算法流程.新聚类算法相对于传统的模糊等价关系的聚类算法,具有更好地处理不确定性问题的能力,避免了聚类计算过程中的信息丢失.同时新聚类算法可以灵活给出随聚类相似性参数变化的动态聚类结果.论文最后以电商平台的手机品牌聚类为例,验证了新算法的可行性和合理性.     

How serious is the modifiable areal unit problem for analysis of English census data?

Population data are often collected or presented for geographical areas which may have little or no connection to the processes generating the data. Such areal units are termed 'modifiable'. However analysis undertaken on such data is not independent of how these areal units are configured. Indeed, Openshaw (1984) and others have shown that the results of statistical analysis may differ wildly according to the scale and pattern of the areal units used. This phenomenon is called the modifiable areal unit problem (MAUP). It is clear that the MAUP exists, but far from clear about how often it occurs, how often it affects the conclusions from empirical data analysis, and in what contexts it makes most (or least) difference. British census data are well suited for investigating these issues, being available for different geographies which neatly nest within each other, and for a range of different variables of interest to central and local government and to many academic disciplines. This article is concerned with bivariate correlations (using Pearson's r) between pairs of variables. The aim is to see if any variables seem particularly liable to display MAUP effects, and if so, why. The conclusion is that MAUP in many cases makes little or no difference to the results, but there are some variable pairs where the effect is substantial.     

一种电离层慢相径扰动提取与补偿改进算法

针对采用调频连续波(FMCW)体制的天波超视距雷达的应用场合,提出了一种电离层扰动(慢相径变化)补偿改进算法。该算法利用雷达回波谱中海浪在空间上的独立性来获取统计样本,因而在无需对雷达系统作任何改动的情况下,可获得对电离层扰动瞬时频率变化的统计估计。通过相位补偿有效地抑制了电离层扰动造成的多普勒谱展宽和频率漂移。给出了应用该方法的具体步骤,通过仿真实验证明该算法的有效性。     

中国保险业发展的经验函数分析

在对数据统计口径进行调整的基础上，利用全国的时间序列数据分析城乡居民可支配收入、城乡居民储蓄存款余额、社会保险福利费、金融价格指数、居民活期存款利率及制度环境对中国保费收入的影响，得出中国保险业发展的经验函数，再用各地区的面板数据来分析中国保险业发展的地区差异性。研究发现：社会保障与商业保险之间没有相互替代关系；政府对保险业的政策支持力度不够；三大地区保险业发展呈不同类型，东部地区呈均衡发展型，中部地区呈收入拉动型，西部地区呈储蓄拉动型。     

New statistical model for radar HRRP target recognition

The mixture of factor analyzers (MFA) can accurately describe high resolution range profile (HRRP) statistical characteristics.But how to determine the proper number of the models is a problem.This paper develops a variational Bayesian mixture of factor analyzers (VBMFA) model.This procedure can obtain a lower bound on the Bayesian integral using the Jensen's inequality. An analytical solution of the Bayesian integral could be obtained by a hypothesis that latent variables in the model are independent.During computing the parameters of the model,birth-death moves are utilized to determine the optimal number of model automatically.Experimental results for measured data show that the VBMFA method has better recognition performance than FA and MFA method.     

Windows NT下视频传输卡的多卡驱动程序开发方法

由于WindowsNT操作系统不允许应用程序直接操纵硬件,从而给开发与硬件结合的软件项目带来了一定的困难,因而如何进行硬件驱动程序的编写就成了Windows环境下一个重要的程序开发领域。给出了WindowsNT系统下基于PCI总线的硬件设备驱动程序开发的一般方法,以及如何运用SoftICE来进行驱动程序跟踪调试的一般方法,最后给出了一种同时支持多块视频传输卡的多卡驱动程序的开发方法。     

IT创新概念流行度影响因素的研究——基于云计算的实证分析

信息技术(IT)创新概念的扩散流行和创新概念的实物化程度、相关概念的流行度、相关的商业关注问题等内容有关.文中通过文献内容分析方法获取IT创新概念及其相关概念的文献内容数量,然后通过K-L散度公式计算概念之间的关联程度,之后通过对概念做相关分析,对自变量做降维筛选,最后通过回归方法,对影响创新概念的相关影响因子进行分析.文中以云计算为实证探索了IT创新概念扩散流行度的影响因素和关联关系.     

An Application of the Stability Theory in Constrained Nonlinear Optimization

1　 IntroductionIt is known that a given constrained nonlinear optimization problem can be transformedand solved by ordinary differential equations(ODE) [4,5] .Based on the preliminary resultsof [8～ 1 2 ] ,this paper uses a stability theory of ODE systems to analyze the asymptoticalproperties of differential equations which are derived from a given constrained nonlinearoptimization problem.We also state conditions of the overall uniform asymptoticalstability of the singular points aboutpart…     

基于离散PSO的软测量辅助变量选择算法

工业对象的复杂化带来了可测变量的增多,这些变量集合中大量冗余的信息会降低软测量建模的精度。针对这个问题,提出了基于离散PSO的软测量辅助变量选择算法。算法将传统PSO连续的优化过程通过对粒子位置的隶属度计算,将其离散成0或1。0、1分别表示某变量未被选中和被选中,每个粒子就代表一种变量选取情况。将PLS回归用于适应度函数的计算,有利于克服多元回归中多重共线问题。最后,将该算法用在了丙烯精馏塔塔顶丙烯浓度的软测量实验中,实验结果表明该方法有效,并提高了模型的预测精度。     

基于独立源分析的过程监测及故障诊断方法

多元统计过程控制(MSPC)要求观测数据服从正态分布,而实际的工业过程数据大都不满足正态分布条件。独立源分析(ICA)是近几年才发展起来的一种新的统计方法,可以克服对数据分布的依赖。为此以ICA算法为核心,引入一种新型的过程监测及故障诊断方法。应用ICA提取独立源,利用I2图,Ie2图和SPE图进行故障检测,将变量重构图用于诊断故障。以三水箱系统为背景进行的实验研究,验证了该方法的有效性。     

复杂系统中统计相关性测量的熵方法研究

在熵方法定义的关联度系数法的基础上，提出了一种计算复杂系统统计相关的广义关联度系数法，并将其应用到生态经济区划和中医理论（齿痕舌出现的特点）中，进而证明了该方法的有效性、结果表明：广义关联度系数法在计算时不需要特定的数据，从而减小了数据的不确定性和计算量；既适用于线性的情况也适用于非线性的情况；复杂系统分类所需的判据减少，使复杂系统分类简单化；可以对系统变量（或子系统）之间的相关性进行定量的描述．     

Convergence in Distribution for Uncertain Random Sequences with Dependent Random Variables

Random variables and uncertain variables are respectively used to model randomness and uncertainty. While randomness and uncertainty always coexist in a same complex system. As an evolution of random variables and uncertain variables, uncertain random variable is introduced as a tool to deal with complex phenomena including randomness and uncertainty simultaneously. For uncertain random variables, a basic and important topic is to discuss the convergence of its sequence.Specifically, this paper focuses on studying the convergence in distribution for a sequence of uncertain random sequences with different chance distributions where random variables are not independent.And the result of this paper is a generalization of the existing literature. Relations among convergence theorems are studied. Furthermore, the theorems are explained by several examples.     

少自由度串联机器人仿真分析

研究了一种少自由度串联机器人精确速度控制方法。少自由度机器人末端可控变量n与关节变量相等，而不可控变量(6—n)是这些可控变量的线性组合。文章用反螺旋理论通过建立独立运动变量和关节变量的运动模型，使机器人末端可控变量与关节变量成一一对应关系。以4自由度机器人为例进行仿真分析，结果证明了改方法的有效性。     

基于PCA和最小二乘支持向量机的软测量建模

软测量技术是解决工业过程中普遍存在的一类难以在线测量变量估计问题的有效方法,支持向量机是基于统计学习理论的一种新的机器学习方法。提出了一种基于主元分析(PCA)和最小二乘支持向量机的软测量建模方法,用主元分析对输入变量进行数据压缩,消除变量之间的相关性,简化支持向量机结构,并通过交叉验证的方法对支持向量机进行参数选择。将其用于4-CBA软测量建模的结果表明:该方法具有学习速度快、跟踪性能好以及泛化能力强等优点,为4-CBA软测量建模的在线实施提供了方便。     

PARTIAL STABILIZATION OF A CLASS OF CONTINUOUS NONLINEAR CONTROL SYSTEMS WITH SEPARATED VARIABLES

1. Introduction To date, a large number of investigation have been devoted to the problem of stability (stabilization) with respect not to all variables charactering the state of a system but only to certain given part of those variables. The problem is often also referred to as that of partial stability (stability with respect to part of the system’s states) (see, for example, Liao 2001; Liao 1992; Liao and Li 1996; Bondi and Fergola et al 1979; Jian and Liao 2004; Vorotnikov 1998). Mean…     

BOUND ON SOLUTIONS TO THE GENERAL SYSTEM OF VOLTERRA－TYPE LINEAR INTEGRAL INEQUALITIES IN SEVERAL VARIABLES AND ITS APPLICATIONS TO INTEGRO－PARTIAL DIFFERENTIAL EQUATIONS

ＢＯＵＮＤＯＮＳＯＬＵＴＩＯＮＳＴＯＴＨＥＧＥＮＥＲＡＬＳＹＳＴＥＭＯＦＶＯＬＴＥＲＲＡ－ＴＹＰＥＬＩＮＥＡＲＩＮＴＥＧＲＡＬＩＮＥＱＵＡＬＩＴＩＥＳＩＮＳＥＶＥＲＡＬＶＡＲＩＡＢＬＥＳＡＮＤＩＴＳＡＰＰＬＩＣＡＴＩＯＮＳＴＯＩＮＴＥＧＲＯ－ＰＡＲＴ...