regression

英 [rɪˈɡreʃn]

美 [rɪˈɡreʃn]

n.  倒退; 回归; 退化

复数：regressions　

TEM8计算机

BNC.7443 / COCA.5403

牛津词典

noun

• 倒退；回归；退化
  the process of going back to an earlier or less advanced form or state

柯林斯词典

• VERB 倒退;退步;退化
  When people or thingsregress, they return to an earlier and less advanced stage of development.
  1. ...if your child regresses to babyish behaviour...
     如果你的孩子退行到婴儿状态
  2. Such countries are not 'developing' at all, but regressing.
     这些国家根本不是在“发展中”，而是在倒退。

英英释义

noun

• returning to a former state
  Synonym:regressreversionretrogressionretroversion
• the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)
  Synonym:simple regressionregression toward the meanstatistical regression
• (psychiatry) a defense mechanism in which you flee from reality by assuming a more infantile state
• an abnormal state in which development has stopped prematurely
  Synonym:arrested developmentfixationinfantile fixation

双语例句

• We identified predictors for completion through multivariate logistic regression.
  我们通过多元logistic回归分析确定了CD4检测完成的预测因素。
• That is, the regression line would tend to overestimate the magnitudes of Y.
  即回归线趋于过高估计了y值。
• The data deletion model and the mean drift model are equivalent in a general linear regression model.
  为了诊断具有异方差的线性回归模型的异常点，建立了具有异方差的均值漂移模型和数据删除模型。
• In this lecture we introduce the multiple regression.
  在本次课中，我们介绍了多元回归。
• Associations between these variables and perinatal mental disorders were explored through univariate analyses and multivariable logistic regression.
  从而通过单变量分析以及多变量逻辑回归对上述变量与围产期精神障碍之间的关系进行了探讨。
• Backward logistic regression analysis identified independent correlates and significant interactions.
  逆向logistic回归分析确定了独立的关联关系和重要的互动关系。
• The model used multiple stepwise regression method and back propagation method independently.
  模型分别采用多元逐步回归方法和反向传播方法。
• The Method and Application of Excel in the Data Processing of Linear Regression Equation
  Excel在线性回归方程中数据处理的方法和应用
• This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
  给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
• Comparing Variable Selection Methods for Microarray Classification Models Based on Logistic Regression.
  根据逻辑回归方法来对微阵列归类模型做各种不同选择方法的比较。