regression
英 [rɪˈɡreʃn]
美 [rɪˈɡreʃn]
n. 倒退; 回归; 退化
复数:regressions
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.- ...if your child regresses to babyish behaviour...
如果你的孩子退行到婴儿状态 - 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。
- ...if your child regresses to babyish behaviour...
英英释义
noun
- returning to a former state
- 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)
- (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
双语例句
- 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。 - 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。 - 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。 - 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 - 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。 - Correlation Analysis and Hierarchical Regression Analysis to Conduct the study.
本研究利用皮尔森相关分析及层级回归进行研究。 - 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。 - 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。 - This execution also offers automated software unit and regression testing for improved quality of code.
该执行还为改进代码的质量提供了自动化的软件单元和回归测试。 - 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。