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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

      双语例句

      • A robust estimation method of the components of quasi-additive model using local linear regression and marginal integration is studied.
        针对伪可加模型,本文利用局部线性回归和边缘积分的方法提出了一种稳健的估计方法。
      • Least squares regression with nine model selection techniques, including stepwise regression.
        最小二乘回归模型选择与九技术,包括逐步回归。
      • In this paper, the smallest risk estimators of regression coefficient in the linear model are investigated.
        研究了线性模型中回归系数的最小风险估计问题。
      • 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。
      • Regression testing is used to determine the correctness and quality of the product.
        回归测试用于确定产品的正确性和质量。
      • With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
        利用回归分析法,建立一元线性回归处理的数学模型和多元线性回归处理的数学模型。
      • 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。
      • 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。
      • Predictors were explored through univariable analyses and multivariable linear and logistic regression.
        在此基础上,文章通过单变量分析和多变量线性和逻辑回归探讨了预期因素。