weighted regression

[ˈwetɪd rɪˈɡrɛʃən][ˈweitid riˈɡreʃən]

加权回归

  • A new weight function used by locally weighted regression technique for estimation of background clutter in image sequnces with moving point targets is presented in this paper .

    在含有点状运动目标的红外图像序列情况下,研究了一种基于局部 加权 回归 分析的杂波估计技术,给出了此类估计器性能分析及其 加权 系数选择要求,并设计了一种加权函数。

  • Influence analysis in weighted regression model with perturbation

    回归扰动模型的影响分析

  • This paper introduces the global stationary test of regression relation and the stationary test of each regression coefficient changes with spatial location in geographically weighted regression model by theory of least squares estimate .

    利用最小二乘估计理论,给出了在地理 加权 回归模型(GWR模型)中回归关系的全局平稳性检验方法和各回归系数随空间位置变化的平稳性检验方法。

  • For the linear weighted regression model this paper defines a new relative effi - ciency gives it s lower bound and also discusses its relation to other three efficiencies .

    考虑 加权 回归模型,定义了一种新的相对效率,并给出了相对效率的下界,同时讨论了新的相对效率与其它三种已有相对效率的关系。

  • The ratio of variance and generalized variance are used as the influence measures to examine the influence of data rejecting on weighted regression model from the point of efficiency of estimate .

    用方差比和广义方差比作为影响度量,从估计效率角度研究数据的剔除对 加权 回归模型的影响。

  • Analysis of china 's provincial industrial total factor productivity based on geographical weighted regression model

    基于地理 加权 回归模型的省域工业全要素生产率分析

  • For dynamic traits the statistical models for genetic analysis of candidate genes were established by applying the mathematical model for dynamic trait linkage mapping analysis into statistical analysis of their candidate genes ; the parameters in the models were estimated by using iteratively weighted regression analysis methods .

    对于动态性状,将动态性状基因定位分析方法引入候选基因检测分析中,建立了动态性状候选基因遗传分析模型,采用迭代 加权 回归分析法估计模型参数;

  • Using a spatial varying-coefficient regression model of spatial econometric method which called geographically weighted regression under the global background of the whole regional innovation of China a spatial econometric analysis is performed .

    运用空间计量经济学的空间变系数回归模型&地理 加权 回归 模型,在全国31个省级区域创新系统的大背景下,着重对首都区域创新及其影响因素进行了空间计量经济分析。

  • The Performance Comparison of Several Estimate for Linear Weighted Regression Model Presented

    回归模型下几种估计性能的比较

  • Influence measure and correlation coefficient in weighted regression model

    加权 回归模型中的影响度量与相关系数

  • Applications of Weighted Regression Model and Weighted GM in Slope Deformation Forecast

    加权灰色与 加权 统计模型在边坡变形预测中的应用研究

  • Standard Curve Weighted Regression Based on Excel VBA

    基于ExcelVBA的标准曲线 加权 回归

  • With the kernel weight based on similarly between target gene and sample genes which localize missing value estimation a new method based on weighted regression is presented .

    利用相似性信息的核加权 函数来实现缺失值回归估计的局部化,提出了基于 加权 回归估计的基因表达缺失值估计算法。

  • Application of Weighted Regression Parameter Optimization to Analysis of Landslide Deformation

    加权 回归与参数优化在滑坡变形分析中的应用

  • By comparing the linear regression model with Geographically Weighted Regression Model it concludes that the ground weighted regression model can better justify the the degree of correlation between housing land price and its influencing factors .

    通过对比线性回归模型和地理 加权 回归模型得出,地里加权回归模型能更好的解释住宅地价与影响因子之间的关联程度。

  • And through the establishment of linear regression models and geographically weighted regression model it analyzes urban housing land prices and its impact the correlation between the factors and finds the reasons that cause spatial variation of urban housing land price .

    并通过建立线性回归模型和地理 加权 回归模型,分析城市住宅土地价格与其影响因素之间的关联性,以及城市住宅地价空间分异的原因。

  • Weighted Regression Model and Its Application with Membership Function as Weight

    以隶属度为权重的 加权 回归模型及在 水文 资源中的应用

  • The Relative Efficiency of the Parameter Estimate in Linear Weighted Regression

    回归 模型中参数估计的相对效率

  • This paper adopts geographically weighted regression to analyze the location determinants of FDI in Yangtze River Delta cities .

    文章利用地理 加权 回归 方法研究了FDI在长江三角洲城市的区位决定。

  • The linear weighted regression model is one of the models studied in many articles in recent years .

    回归模型是近年来文献中较多涉及的一种。

  • The paper uses a kind of new method Exponent Weighted Regression method in which the Wt is improved to obtain Improved BCM Modeling .

    本文利用一种新的方法&指数 加权 回归方法对Wt进行了改进,得到改进贝叶斯常均值模型。

  • Third we introduce auto spatial regression model and estimation geographical weighted regression and auto poisson model .

    鉴于在案例分析中要建模,我们介绍了空间自回归模型及其参数的估计,地理 加权 回归 模型,自泊松模型等。

  • The theory of local partial least square ( LPLS ) algorithm was described based on locally weighted regression algorithm ( LWR ) .

    报道了在局部 加权(LWR) 回归方法基础上,自主改进的更简单、实用的局部偏最小二乘回归(LPLS)的原理和方法。

  • In this paper analysis for mixed geographically weighted regression is divided into two parts : In the first part the precision and coefficients of parameter constraint estimation of Mixed geographically weighted regression prove to be well .

    本文对混合地理 加权 回归 模型的分析主要分为两方面:首先是对模型在一般线性约束条件下的估计及检验的精度和有效性进行讨论。

  • We analysis them using discrete wavelet transform and describe the nature of the wavelet coefficients and their statistical properties . Then present an adaptive efficient unbiased estimation method of Hurst index based on multiresolution wavelet analysis and weighted regression .

    论文分析了小波域内网络业务的自相似性,描述了小波系数的本质和统计特性,提出一种基于小波的自适应 Hurst参数估计方法,可以证明该 方法在一般意义上是无偏的。

  • Stationary Tests of Geographically Weighted Regression Model

    地理 加权 回归模型的平稳性检验

  • Then an adaptive efficient unbiased estimator of Hurst index based on multiresolution wavelet analysis and weighted regression is presented .

    针对基于小波的Hurst指数估计方法的自适应问题,结合方差分析给出了一种有效的解决方法,从而提出了自适应的参数估计方法,并且 方法在一般意义上是无偏的。