逐步回归方法的英文

• stepwise regre ion method
• stepwise regression method

• "逐步"英文翻译    step by step; progressively; ...
• "回归"英文翻译    recurrence; regression; flyb ...
• "方法"英文翻译    method; means; way; techniqu ...
• "逐步回归" 英文翻译 :    stepwise regression analysis; stepwiseregre ionanalysis
• "前向逐步回归" 英文翻译 :    forward stepwise regression
• "逐步回归程序" 英文翻译 :    stepwise regression program
• "逐步回归分析" 英文翻译 :    gradual regressive analysis; stepwise regression analysis; steregre ion; steregression
• "回归方法" 英文翻译 :    retrogressive method
• "多元回归方法" 英文翻译 :    multiple regression technique
• "逐段回归方法" 英文翻译 :    stagewise regression procedure
• "非参数回归方法" 英文翻译 :    distribution-free regression procedure
• "分批进入和退出的逐步回归法" 英文翻译 :    in-and-out stepwise method
• "逐步回避" 英文翻译 :    stepwise regression
• "回归方程" 英文翻译 :    equation of regression line; regression equation
• "回归方程式" 英文翻译 :    regression equation
• "偏回归方程" 英文翻译 :    partial regression equation
• "自回归方程" 英文翻译 :    autoregression equation
• "多元回归方程" 英文翻译 :    multiple regression equation; multipleregre ionequation
• "多重回归方程" 英文翻译 :    multiple regression equation
• "二次回归方程" 英文翻译 :    quadratic regression equation
• "回归方差分析" 英文翻译 :    analysis of variances in regression
• "回归方程精度" 英文翻译 :    precision of regression equation
• "线性回归方程" 英文翻译 :    equation of linear regression
• "直线回归方程" 英文翻译 :    linear regression equation
• "单步回归曲线" 英文翻译 :    single-stage regression curve

• Chapter 5 based on studying the factors affecting the pricing of ipos , combining multifactor step regress method , concludes ipos pricing model , demonstrate the factors affecting the pricing of ipos
  第五章运用多元因素逐步回归方法，构建ipo定价模型，进一步深入研究ipo定价影响因素。
• Based on the capacitance distributions from 12 - electrod capacitance sensor , using stepwise regression method , the capacitance relation of oil - gas two phase flow based on flow pattern is developed
  摘要基于12电极阵列电容传感器提供的电容测量信息，采用逐步回归方法，获得了与流型相关的电容关联式。
• Through the methods of multiple linear stepwise regressions , the main environment factors were found and multiple linear regression models among the transpiration rate and environment factors were set up
  通过多元线性逐步回归方法，得到了影响沙质海岸蒸腾速率的主要环境因子，及其与土壤呼吸速率之间的多元回归模型。
• ( 6 ) the reservoir operation function is established utilizing the optimal dispatching results . the state variable and decision variable of the operation function is discussed , and the stepwise regression method is used to derive the operation function . because of the nonlinear features of the function have n ' t been reflected in traditional regression methods , the back - propagation neural network model is introduced to establish the operation function
  ( 6 )利用水库优化调度结果建立水库调度函数，在分析水库调度函数各特征量的基础上，介绍了用逐步回归方法建立水库调度函数的具体过程，考虑到传统回归方法未能反映调度函数的非线性特性，引入bp神经网络模型求解模型，建立水库调度函数。
• Evidence suggests that the prognostic ability of the new model with high stability , when hidden nodes changing nearby input nodes and training times changing at the certain extent , is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information , properly utilizing the ability of ann self - adaptive learning and nonlinear mapping . but the linear regression technique only selects several predictors by the f value , many predictors information with high relative coefficients is not included . so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields
  进一步深入分析研究发现，本文提出的这种基于主成分的神经网络预报模型，预报精度明显高于传统的逐步回归方法，其主要原因是这种新的预报模型集中了众多预报因子的预报信息，并有效地利用了人工神经网络方法的自组织和自适应的非线性映射能力；而传统的逐步回归方法是一种线性方法，并且逐步回归方法只是根据f值大小从众多预报因子中选取几个预报因子，其余预报因子的预报信息被舍弃。
• For comparing the intensity of 9 institutional factors , i use gradual return methord , put these institutional factor variables into the same equation , and have drawn the following conclusion : formally restricted legal institutional arrangement is most intensity among three variables , secondly it is the institutional arrangement of enterprises operation expenses . finally , on the basis of analyzing factor influence degree of the institution , i have put forward the policy recommendations on the location choice to the fdi of our country to the
  为了比较这9种制度安排对中国对外直接投资区位选择的影响程度强弱,我们还运用了从一般到特殊的逐步回归方法,把9个制度因素变量放入同一方程进行回归,得出了如下结论:在三类变量中起作用最强的是正式约束的法律制度安排,其次是影响企业运行费用的制度安排,最后是经济制度安排。
• Aiming at the problem on taking no account of relation of forecast factors and instability of regression results caused by selected factors with no orthonormalization which would bring out error to computational results , monadic linear regression analysis and nature orthonormalization function as well as stepwise regression were integrated to establish forecast models of cold in nanjing and upper respiratory tract infection , cerebral hemorrhage as well as cerebral infarction in jinhua
  过去在选择预报因子时没有考虑预报因子间的相关性，挑选的预报因子由于非正交使回归计算的结果不稳定，给计算带来一定的误差。针对这一问题，文章将一元线性回归分析、自然正交函数法( eof )和逐步回归方法结合起来，建立了南京感冒以及金华的上呼吸道感染、脑出血和脑梗塞的发病指数预报模型。并将模型结果与逐步回归法建立的模型进行比较。
• ( ii ) this paper makes the annals data of the listed companies in 2004 as sample , and gets earnings per share and the regression equation of the four financial indexes which have noticeable effect on it via stepwise regression method . the four financial indexes which affect earnings per share are the net asset per share , unaccommodated profit per share , quick ratio and return on assets respectively . the equation provides a
  (二) 、以河南省上市公司2004年年报数据作为样本,应用逐步回归方法,得到每股收益和对它有显著影响的四个财务指标的回归方程,影响每股收益的四个财务指标分别是:每股净资产、每股未分配利润、速动比率和总资产报酬率,为这些上市公司提高每股收益提供参考。