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1)  dynamic multiple regression model
动态多元回归模型
2)  multiple regression model
多元回归模型
1.
Determining the weight loss rate of fish by dehydration,the content of salt in fish and amino nitrogen in brine as primary indicators,a multiple regression model was set up between the results of sensory evaluation and determined indicators in different curing conditions.
以腌制过程中鱼肉脱水失重率、鱼肉中氯化钠的含量以及盐卤中氨基态氮的含量为主要测定指标,建立不同腌制条件下产品的感官评定结果与测定指标之间的多元回归模型。
2.
Considering the affection of the accelerometer transverse sensitivity, the multiple regression model of the accelerometer units is proposed and the formulation estimating the parameter matrix is also proposed.
在考虑加速度计横向灵敏度影响的情况下,将 SIMU 加速度计组件视为一个整体,提出了 SIMU 加速度计组件的多元回归模型,并且给出了模型参数的估计公式。
3.
The model which combined Cobb-Douglas production function,multiple regression model and exponential smoothing model can improve the accuracy of fix and forecast by proper weighs.
通过赋予合理权重,将C-D生产函数模型、多元回归模型和指数平滑模型加权组合。
3)  multi-regression model
多元回归模型
1.
Based on international research experiences,SHTO theory and multi-regression models show that the investment levels of real estate development in the four ci.
SHTO理论和多元回归模型表明:四城市的房地产开发投资水平受地区人口发展、产业发展和宏观经济发展的影响显著,但是不同城市房地产开发投资水平的影响因素有所不同,相同因素在不同城市的影响效果也有差异。
2.
In this paper multi-regression model and GM(1,1) based on several related factors were set up.
对1997~2004年长江口凤鲚捕捞量建模进行了研究,对多个相关因子分别建立了多元回归模型和GM(1,1)模型。
4)  multi-variable regression model
多元回归模型
1.
GIS based CF multi-variable regression model is put forward in this paper, since each landslide hazard analysis method has its own disadvantage.
本文在基于数据的数学统计模型的基础上提出CF多元回归模型。
5)  multivariate autoregressive.model
多元自回归模型
6)  multiple Logistic regression model
多元Logistic回归模型
1.
The relation between image metrics and algorithm performance metrics is established using multiple Logistic regression model,and regression analysis is used to evaluate algorithms performance.
选取适当的图像性能指标和算法性能指标作为输入和输出,利用多元Logistic回归模型建立两者之间的联系,通过回归分析评估匹配算法性能优劣。
补充资料:多元回归
研究两个或两个以上自变量的回归分析称为多元回归,或称复回归。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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