There are many complicated factors influencing the quantity of cultivated land, so a simple regression analysis can not achieve a satisfactory model.
影响耕地数量变化的因素错综复杂,简单的回归分析不易得到满意的模型结果。
This series has studied two applications of simple linear regression analysis.
本系列研究了简单线性回归分析的两个应用。
A simple iteration method is proposed for the complex nonlinear (regression) analysis of heat transfer data.
在对复杂的非线性方程进行回归分析时,提出了一种简单的迭代分析方法。
And based on this, a simple method for performance prediction by using linear regression analysis is put forward.
在此基础上提出了应用线性回归分析进行动态预测的简便方法。
Simple correlation, multiple regression and main - element analysis based on the results of 17 amino acids and taste of green tea were carried out by computer.
对绿茶17种氨基酸与滋味进行了简单相关、多元逐步回归和主成分分析。
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 algorithm is based on the regression analysis and is very simple.
算法基于回归分析且维数低,因此十分简单。
Multiple linear regression and correlative analysis showed that the increase in optic axis was main factor for the formation of simple myopia of teenager.
多元线性回归和相关分析显示眼球轴长增加是单纯性近视眼形成的主要因素。
Geographically weighted regression(GWR), on the other hand, is a simple, but useful new technique for the analysis of spatial nonstationarity.
GWR是一种简单、有效的技术,可以反映参数在不同空间的空间非稳定性。
With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
利用回归分析方法,对改进的小型摄谱仪测氢原子光谱实验的数据进行了处理。
With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
利用回归分析方法,对改进的小型摄谱仪测氢原子光谱实验的数据进行了处理。
应用推荐