回归方程

词组短语

regression equation

与回归方程相关的网络例句 [注：此内容来源于网络，仅供参考]

Based on the autoregression equation for the standard variation of the residual errors obtained by ordinary regression analysis, the least square estimates and the maximum likelihood estimates for the regression, the autoregression and the moving average coefficients are derived.

提出一种异方差回归－时序模型，通过建立回归分析残差的标准差自回归方程，给出回归系数、自回归系数和滑动平均系数的最小二乘估计和极大似然估计。

The result showed that the single correlation between the characters of weight and heart girth, chest width and circumference of cannon bone was significantly different. The correlation between weight and heart girth, chest width, circumference of cannon bone was highly positive correlation. Among seven regression models, the correlation index of six regression models was over 0.7, but that of 60 days was 0.452. The result suggested that selecting body weight was efficient through heart girth, body high, chest width and circumference of cannon bone.

对不同日龄各项体尺与体重建立的了回归方程，结果表明，60日龄回归模型的决定系数R~2=0.452，其它6个回归模型的相关指数均在0.7以上，其中方程1、5、6、7的相关指数都在0.9以上，表明这些回归方程中各项体尺指标与体重之间相关密切，根据胸围、管围、体高和胸宽对体重的选择都是有效的，具有一定的参考作用。

The Analysis shows that the bigger the variation coefficient of dependent variable,the bigger the mean square error of regression equation when the multiple correlation coefficient is definite.

分析表明，复相关系数一定时，倚变量的变差系数越大，回归方程的均方误差就越大；回归分析时，应对回归方程的误差进行分析。

For a seemingly unrelated regression system consisting of m equations, we propose a new type of estimator called pre test ridge regression estimator by combining the idea of preliminary test and ridge regression methodology and establish some statistical properties of PTRRE.

对于由 m个相依线性回归方程组成的线性回归系统，本文作者基于岭回归估计和预检验估计，提出了回归参数的一种新型估计，即预检验岭回归估计。并讨论了它的统计性质。

Based on leaf area measurement experiments on six main cultivars Strawberry in southern of Jiangsu province, using DPS data processing system to analyze the relationship between "leaf length - leaf width - leaf area", and getting to regression equations of these six kinds of strawberry on "leaf length × leaf width" and on leaf area; and setting up a common regression equation through combination of data.

本文基于对江苏南部6个草莓主栽品种叶面积的测量试验，用DPS数据处理系统对其"叶长-叶宽-叶面积"之间的回归关系进行分析，得出这6个草莓品种的叶长×叶宽与叶面积回归方程；并经过数据合并建立了一个通用的回归方程。

Based on leaf area measurement experiments on six main cultivars Strawberry in southern of Jiangsu province, using DPS data processing system to analyze the relationship between "leaf length-leaf width-leaf area", and getting to regression equations of these six kinds of strawberry on "leaf length × leaf width" and on leaf area; and setting up a common regression equation through combination of data.

基于对江苏南部6个草莓主栽品种叶面积的测量试验，用DPS数据处理系统对其"叶长－叶宽－叶面积"之间的回归关系进行分析，得出这6个草莓品种的叶长×叶宽与叶面积回归方程；并经过数据合并建立了一个通用的回归方程。

Unitary linear regression is done between w~e、 w~ρ、 e~ρ、w_L~w_P. For α_v 、 C_ c between w、ρ、 e、 w_P in eastern China, unitary linear regression is done to silty clay as well as multivariant regression with coefficient iteration method and least-squares procedure are done to all kinds of soil, and the two results are compared. Unitary linear regression and multivariant regression are done to c_q、φ、 c_d、φ_d between e and I_P. Unitary linear regression and multivariant linear regression are done to napierian logarithm of q_u between e 、 I_L、 w_P and w_L, then the equations of regression are checked with other parameters.

对物理指标含水量～孔隙比、含水量～湿密度、孔隙比～湿密度、液限～塑限作了一元线性回归；对华东地区粉质粘土的压缩系数、压缩指数和含水量、湿密度、孔隙比及塑性指数作了一元线性回归；对华东地区所有土类的压缩系数、压缩指数和物理性质参数用系数迭代法和最小二乘法作了多元线性和非线性回归，并对两种方法得到的回归结果作了比较；作了快剪强度指标和固结快剪强度指标关于孔隙比和塑性指数的一元线性回归和多元线性及非线性回归；对无侧限抗压强度的自然对数值和孔隙比、液性指数、液限及塑限作了一元和多元线性回归，并用其它工程的参数对回归方程进行了检验。

Finite element method and nonlinear regression method is used to discuss the relationship of Y shape steel tube joint's local translational displacement and local translational stiffness to the ratio between the width and the thickness of main tube, ratio of width and thickness between branch tube and main tube and included angle between branch tube and main tube's the axial directions.

本章分析了Y形方管节点的平动位移和平动刚度随主管宽厚比、支主管宽度比、支主管厚度比和支主管轴线夹角等参数的变化关系，并从各回归方程及回归系数的显著性检验可知回归方程的准确性。

4Some job stressors can predict job burnout, stresses form ecomocial-socail treatment, workload and school management entered emotional exhaustion regression equation, stresses form student factors entered depersonalization regression equation, stresses from workload and examination entered reduced personal accomplishment regression equation. It is clearly that stresses from ecomocial-socail treatment and school management have positive influence to turnover intention; also emotional exhaustion and reduced personal accomplishment have positive influence to turnover intention.

部分压力源对职业倦怠的三个维度有预测作用，来自经济社会待遇、工作负荷、学校管理的压力进入情感衰竭的回归方程，学生因素进入去个性化的回归方程，学校管理的压力和考试压力进入个人成就感降低的回归方程；学校管理、经济社会待遇的压力对离职倾向有显著的预测作用；情感衰竭和成就感降低对离职倾向有显著的预测作用。

Significant negative correlation was found between the microfibril angle and the fiber length, and the correlation can be expressed by regression equation: y＝a＋bcosx or y＝a＋bx.

枫杨木材微纤丝角与纤维长度间回归表现出显著负相关，其回归方程可用方程：y＝a＋bcosx或y＝a＋bx模拟，方程在0.05或0.01水平上显著。

与回归方程相关的网络解释 [注：此内容来源于网络，仅供参考]

autoregression equation：自回归方程

autoregression 自回归 | autoregression equation 自回归方程 | autoregressive process 自回归过程

linear regression eguation：直线回归方程

linear regression 直线回归 | linear regression eguation 直线回归方程 | link relative 环比

linear regression equation：直线回归方程

的平均数是与之对应的. 可以用直线回归方程(linear regression equation)来描述x与y的均值的关系:,...

linear regression equation：线性回归方程

多元线性回归:Multivariable Linear Regression | 线性回归方程:linear regression equation | 多元回归分析:Multiple Linear Regression Analysis

linear regression equation：直线回归方程,线性回归方程

linear regression 直线回归,线性回归 | linear regression equation 直线回归方程,线性回归方程 | location 位置,定位

multiple regression equation：多元回归方程

multiple regression analysis 多元回归分析 | multiple regression equation 多元回归方程 | multiple response 多响应

multiple regression equation：多重回归方程

multiple regression analysis 复合回归分析,复回归分析,多重回归分析,重回归分析=>重回帰分析 | multiple regression equation 多重回归方程 | multiple request 多重请求,多重中断请求

partial regression equation：偏回归方程

偏回归系数 partial regression coefficient | 偏回归方程 partial regression equation | 部分卸荷 partial relief

precision of regression equation：回归方程精度

回归方程 regression equation | 回归方程精度 precision of regression equation | 回归方程稳定性 stability of regression equation

regression function：回归方程

regression analysis 回归分析 | regression function 回归方程 | regressor variable 回归变量