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。
Linear model is a vital class of statistical model which involves regression model, variance analysis model, covariance analysis model and mixed model etc.
线性模型是一类很重要的统计模型，它包括回归模型、方差分析模型、协方差分析模型以及混合模型等。
Finally, a linear model is established to forecast diurnal NEE through variance analysis and multiple linear regression methods.
最后，利用方差分析和多元线性回归方法建立了预报日nee的线性模型。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
For the complexity and uncertainty of load, a fuzzy linear regression model combining fuzzy mathematics with linear regression model is used to forecast the variation sections of load.
针对负荷影响因素的复杂性和不确定性，结合模糊数学和线性回归模型，讨论应用模糊线性回归模型预测负荷的变化区间。
Then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
在此基础上，通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
It showed that the simulation results of LVEF, SV and CO were reliable at a low heart rate with linear regression model, but unreliable at a high heart rate.
结果表明，用线性回归模型计算的左室射血分数、每搏量、心输出量在较低心率时模拟数值较为可信，在较高心率时每搏量模拟数值不可靠。
Then, as artificial neural network is better in constructing financial prewarning model than other linear and regression models, a new financial prewarning model based on B-P model was constructed.
然后，利用人工神经网络在建立财务预警模型方面优于其他线性和回归模型的特点，基于B - P模型构建了一个新的混合财务预警模型。
By introducing fuzzy control variable, the paper proposes a fuzzy multiple linear regression model which can get more effective and more understandable fuzzy regression expression.
将模糊集理论引入多元线性回归中，通过模糊控制变量，可以得出更符合实际，也更容易为人所理解的回归模型。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
A dynamic catalyst coking model and multi-variant linear regression model are used to estimate the parameters of catalyst coking model.
提出了采用动态结焦模型以及新鲜催化剂结焦速率的线性回归模型来估计结焦模型参数的方法。
For the linear weighted regression model, this paper defines a new relative efficiency, gives its lower bound and also discusses its relation to other three efficiencies.
考虑加权回归模型，定义了一种新的相对效率，并给出了相对效率的下界，同时讨论了新的相对效率与其它三种已有相对效率的关系。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
Parameters of the model are measured by a linear regression technique and a maximum likelihood method.
在因子范围服从对数正态分布下，应用线性回归技术和极大似然法建立了模型参数的测定方法。
Study laws of distance discriminating results to red and green obstacles change with velocity at different depths distance and establish a linear regression model and BP neural network model.
针对不同空间距离和色调障碍物，建立距离判识结果随速度变化的一元线性回归模型及BP神经网络模型；
Secondly, China's audit fees on the impact of factors of the descriptive analysis as a basis for the establishment of an audit fees and the impact of factors of multi-linear regression model.
其次，对我国审计收费的影响因素进行了描述性分析，以此为基础，建立了一个审计收费与各影响因素的多元线形回归模型。
Abstract : Objective To explore the pain involved clinical factors during seating dental implant restoration abutments and establish a multivariable linear regression model.
摘要目的 初步探索种植修复基台就位疼痛的临床影响因素，并建立多元线性回归模型。
A flue temperature soft measurement model based on linear regression and RBF neural network was built to establish temperature feedback control.
基于线性回归和RBF神经网络构建火道软测量模型，为控制建立温度反馈环节。
The smoothing and moving method to predict the managers' income in the market is anticipated and analyzed. A linear regression prediction model to study the supply of the manager market is studied.
本文构建了测定职业经理市场供给状况的指标体系，运用指数平滑移动法对市场中职业经理收入进行了预测分析，并利用线性回归预测模型对职业经理市场供给进行了研究；
The output from 2004 to 2010 was predicted by means of a multivariate regression linear model, including the factors. The results show the model with a higher precision and the better practicability.
建立一个包含这些因子的垃圾产量的多元线性回归分析预测模型，并对2004～2010年的垃圾产量进行预测。
Linear regression was carried out with the results and a prediction model is given.
并用正交试验结果进行了线性回归，给出了预测模型。
Thus, its goodness of fit and inspection accuracy were better than the simple linear regression model, which could be used as a reference model for NDVI inversion PRI.
因此其拟合优度和检验精度均优于单纯的线性回归模型，可作为NDVI反演pri一种参考模型。
Meanwhile, a linear regression model and a BP neural network model for predicting the springback quantity were set up.
同时，分别建立了回弹量的线性回归预测模型和BP神经网络预测模型。
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。
The data deletion model and the mean drift model are equivalent in a general linear regression model.
为了诊断具有异方差的线性回归模型的异常点，建立了具有异方差的均值漂移模型和数据删除模型。
The data deletion model and the mean drift model are equivalent in a general linear regression model.
为了诊断具有异方差的线性回归模型的异常点，建立了具有异方差的均值漂移模型和数据删除模型。
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