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simple regression

英 [ˈsɪmpl rɪˈɡreʃn]

美 [ˈsɪmpl rɪˈɡreʃn]

网络  简单回归; 一元回归; 简单回归分析; 单回归

英英释义

noun

双语例句

  • In this paper, an inputoutput incremental simple linear regression model is used as a predictive model of black box systems, and a projection algorithm is adopted to estimate the model parameters.
    采用一种输入输出增量式一元线性回归模型作为黑箱系统的预测模型,应用投影算法估计模型参数。
  • The Analysis on the Significant Testing Ways of the Simple Linear Regression
    一元线性回归显著性检验方法分析
  • The estimations of the parameters and coefficient of contamination for the simple regression model are studied when its response variables are contaminated by another random variable sequence in [ 1] 、 [ 2]. But the proof is erroneous.
    文[1]、[2]研究了简单回归模型中响应变量受到另一随机变量序列污染时,模型参数和污染系数的估计方法,但在利用误差的不同阶矩估计给出污染系数的估计时发生了错误。
  • Examples of neural coding. Simple linear regression.
    神经编码的例子与简单的线性回归。
  • Two main forms of virtual variable regression model is used in this paper, one simple linear regression model, the other is GARCH model.
    采用的虚拟变量回归模型有两种主要形式,一是简单线性回归模型,另一个是GARCH模型。
  • In addition, a simple linear regression analysis is also performed to understand the underlying factors that affect container freight rates.
    最后,本文还进行了一个简单的线性回归分析帮助探究影响集装箱运价基本因素。
  • The simple linearity regression equation and multiple regression equation of single leaf area of apple-pear were inosculated by measuring and analysing their leave areas.
    通过对苹果梨单叶面积的测定与分析,拟合了单叶面积的简单线性回归方程与多元线性回归方程。
  • ANOVA and simple regression analysis were used to measure three variables across four brands, four collaboration combinations and each of four brands independently.
    方差分析和回归分析被用来衡量三个变量,并适用于三个不同的层次,包括:四个品牌、四个合作组合和独立的四个品牌三个变量。
  • In the process of research, descriptive statistics, simple linear regression and paired-sample T test are used to study the performance of target firms in the certain test window selection;
    在研究过程中,运用描述性统计、一元回归和配对样本T检验方法对被并购公司特定研究窗口的业绩进行研究;
  • Then, we may calculate actual figures of storage life for the product. This article shows five data analysis methods, which are simple linear regression, exponential regression, weighted exponential regression, polynomial regression ( method of least squares) and grey theory.
    本文采用一元线性回归、指数回归、加权指数回归、多项式回归(最小二乘法)和灰色理论等五种分析方法分别对五种试验数据进行了拟合与预测。