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leverage points
相关语句
  杠杆点
     Results:The analyses of two examples illustrate that leverage points or influential points may enhance or mask the effect of multicollinearity.
     结果: 通过两个实例分析说明数据中的杠杆点或影响点可夸大或掩盖多元共线性。
短句来源
     EVALUATION OF THE LEVERAGE POINTS ANDROBUST APPROACH IN THE DESIGN SPACE
     杠杆点评估及设计空间抗差
短句来源
     The Diagnostics of High Leverage Points and Powerful Influential Case
     高杠杆点和强影响点的诊断
短句来源
     The problem of leverage points may be solved by other robust methods.
     对于杠杆点可用其它稳健回归方法来处理。
短句来源
     In this paper, we discuss the influence which a observation (x'i,yi)has on xi predictor in linear regression, and we obtain the method to diagnose the high leverage points and Powerful influential case.
     本文研究了线性回归中一组观察数据在x_i处预测的影响,给出了诊断高杠杆点和强影响点的方法。
短句来源
  “leverage points”译为未确定词的双语例句
     Then in order to catch on the ERP implementation deeply for the enterprises and the software vendors, the constraints problems are introduced from their own point of view in the fourth chapter, and the leverage points are found.
     之后,分析了在缺少外部咨询参与的情况下,将软件供应商的努力分为促进项目任务完成和提高实施双方协作和信任水平两部分,探测性地通过系统动力学建模两部分努力的效果,如对项目持续时间、实施ERP企业与软件供应商的信任水平和实施中产生的未解决问题的影响等,其中也包括实施过程中ERP的客户化对项目实施的影响分析。
短句来源
     In the regression model, the general diagnostic method of high leverage points is the light of the whole model.
     通常在回归模型中对高杠杆点的诊断方法是针对模型整体来讲的。
短句来源
     As an advanced application software, state estimation of power system acts a very important role in the field of energy management system (EMS), but the traditional estimating method is powerless in dealing with bad leverage points. The existence of leverage points is considered to be the cause of the slow convergency or the divergence.
     电力系统状态估计作为一种应用软件 ,在整个能量管理系统 ( EMS)中起着非常重要的作用 ,但是经典的估计方法在处理不良的异点时显得无能为力。
短句来源
     In order to resolve this problem, this paper briefly analyzes the concept and principles of projection statistics, then estimates the influence of the bad data in these points using the method of identifying leverage points.
     为了解决这一问题 ,文中在简要分析映射统计概念及原理的基础上 ,用先辨识杠杆点的方法来进行估计 ,从而避免受到在这些点的不良数据的影响。
短句来源
     A new method is suggested to study local influence in linear regression model by inserting a high-breakdown point estimation in projection matrix. It is shown that this method is effective to identify the joint influence and masking effects appeared in leverage points.
     在线性回归模型的局部影响分析中,通过用具有高崩溃点的稳健估计替代局部影响分析诊断统计量中投影矩阵的方法,给出了一种有效识别影响点的方法.
短句来源
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  相似匹配句对
     EVALUATION OF THE LEVERAGE POINTS ANDROBUST APPROACH IN THE DESIGN SPACE
     杠杆点评估及设计空间抗差
短句来源
     The Diagnostics of High Leverage Points and Powerful Influential Case
     高杠杆点和强影响点的诊断
短句来源
     The main points:I .
     本论文的主要内容如下:
短句来源
     of the singular points(?)
     规范势的奇异点出现在半子的位置和无穷远点。
短句来源
     On the leverage in Financial Management
     论财务管理中的杠杆效应
短句来源
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  leverage points
The uncovering of these previously unmeasured intervening variables strengthens theoretical connections between demography and work outcomes and suggests leverage points for improving the work attitudes of individuals in the minority.
      
The main goal is to identify leverage points for, and barriers to, the adoption and implementation of evidence-based practices for children.
      
Director leadership, support to providers, and partnerships with universities were leverage points to implement evidenced-based treatments.
      
This project identifies the goals, leverage points, and strategies through which county staff seek to integrate Y-AP into established forums of decision making.
      
Formal and informal procedures are proposed to display the general features of residuals and leverages in order to detect outliers and high-leverage points in the linear mixed models.
      
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Classical least-squares method of regression analysis was designed on the basis of normality assumption of residuals. The method would give biased or even erroneous results when the assuption is not met. Robust regression analysis using M estimation methods,through iterative reweighting, effectively reduces the influence of outliers and ensures the reliability of the results. The problem of leverage points may be solved by other robust methods. Geochemical data more than often deviate from normal distribution...

Classical least-squares method of regression analysis was designed on the basis of normality assumption of residuals. The method would give biased or even erroneous results when the assuption is not met. Robust regression analysis using M estimation methods,through iterative reweighting, effectively reduces the influence of outliers and ensures the reliability of the results. The problem of leverage points may be solved by other robust methods. Geochemical data more than often deviate from normal distribution due to the mixing of outliers or the existence of various types of errors. Robust statistical methods are good solutions for such data. The paper presents a case study in which robust regression methods were succesJully used for adjusting the geochemical background data of uranium, yielding uranium anomalies more closely correlated to known uranium prospects.

经典的最小二乘回归分析以误差的正态分布假设为基础,当数据偏离假设时给出歪曲的甚至谬误的结果。稳健回归的M估计法通过迭代加权来削弱偏离假设部分对统计分析的影响,从而保证了结果的可靠性。对于杠杆点可用其它稳健回归方法来处理。在地球化科数据中,由于外总体的混入及各类误差的存在,偏离正态分布假设的现象是普遍的,可采用稳健统计方法来取得较可靠的统计结果。文中提供了用稳健回归方法对铀地球化学数据进行背景校正的实例;稳健方法的采用显著地增强了异常圈定的质量。

This thesis is to study the methods of establishing Trip Production Model by usingregression analysis. Some problems on the selection of independent variables and regressiondiagnostics have been discussed. Two examples are used to compare alls election rules,and the results show consistance. The influences on the results deriving from the overinfluence points, high leverage points and outliers are studied. The general procedure forthe selection of independent variables is shown in thesis, also the applicable...

This thesis is to study the methods of establishing Trip Production Model by usingregression analysis. Some problems on the selection of independent variables and regressiondiagnostics have been discussed. Two examples are used to compare alls election rules,and the results show consistance. The influences on the results deriving from the overinfluence points, high leverage points and outliers are studied. The general procedure forthe selection of independent variables is shown in thesis, also the applicable methods ofpolynomial regression diagnostics, especially, the methods for detecting outliers. Whendependent variable is affected by some element which couldn't be quantified, we can addthe quanlitative variable to improve the results of regression. According to these studies,a method establishing Trip Production Model by using regression analysis has been suggest-ed in this thesis, which was used to set up the trip production model of Beijing, andthe result is satisfactory.

本文以出行发生量模型的建立为例,较为系统地讨论了近代回归分析中的自变量选择及回归诊断方法在交通调查分析建模中的应用。分析了在获取调查数据后,如何借助回归自变量选择方法来选择最佳自变量子集,以确定简捷的回归模型;文中应用回归诊断方法,讨论了修正回归模型、探测错误的调查数据的方法,从而为建立简捷、高精度的交通模型打下了基础。最后,作者提出了应用自变量选择及回归诊断方法建立出行发行量模型的一般步骤。

In this paper, we discuss the influence which a observation (x'i,yi)has on xi predictor in linear regression, and we obtain the method to diagnose the high leverage points and Powerful influential case.

本文研究了线性回归中一组观察数据在x_i处预测的影响,给出了诊断高杠杆点和强影响点的方法。

 
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