The result of experiment shows that the developed model has more accuracy than the routine linear regression model and traditional neural network model.
实验结果表明，本文提出的水质反演模型较常规的线性回归模型和传统的神经网络模型有更高的反演精度。
Spatial distribution of TN content could be forecasted by using linear regression model.
利用线性回归模型，可以预测TN含量的空间分布。
The comparison demonstrates that the model is superior to linear regression model in precision.
精度检验合格，经比较该模型预测精度优于线性回归模型的预测精度。
And we forecast the vehicle population from 2007 to 2017 by use of multi-linear regression model.
并应用多元线性回归模型预测了2007年到2017年的汽车保有量。
Returning to fraud detection, imagine a linear regression model with a transaction amount feature.
回到欺诈检测问题，设想一个具有交易金额特征的线性回归模型。
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。
There is a regression constant in the linear regression model. But it is not significant in some conditions.
利用线性回归建模时，一般都采用有常数项的模型，而不去考虑它对回归的作用是否显著。
Secondly, based on the system, evaluation model has set up by utilizing statistical linear regression model method.
其次，在此评价指标体系的基础上，利用统计中的线性回归模型的方法建立了评价模型。
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。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
This paper considers the estimation in the linear regression model under the criterion of minimizing the sum of absolute errors.
本文考虑在绝对误差和最小准则下的线性回归模型估计。
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。
Results Multiple linear regression model was established in which the average per capita hospitalization cost was as a dependent variable.
结果建立了以人均住院成本为因变量的多重线性回归模型。
The research of detection of outliers in the linear regression model has been a hot topic all the time for the complexity of the real data.
由于实际数据的复杂性，使得识别回归模型异常点的研究工作一直是个热点。
To know preschooler's constitution and to study methods of making normal values of preschooler's physical exertion using linear regression model.
了解学龄前儿童体能素质，探讨利用线性回归制定其体能四项运动指标正常值的方法。
So the compensation accuracy of FOG drift can be improved by introducing the temperature rate and its grads when establishing the mix linear regression model.
在建立光纤陀螺漂移与温度的混合线性回归模型时，考虑温度变化率和温度梯度等因素的影响，对光纤陀螺零位漂移的温度补偿精度更高。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
Because of complex deformation on slope, it is difficult to handle the regular pattern of deformation on slope by applying non linear regression model accurately.
边坡变形的复杂性决定了运用非线性回归模型很难准确解决边坡变形规律。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
对一般线性回归模型中有关参数估计分布的模拟问题，给出一种随机加权逼近的再构造方法。
The multiple linear regression model for forecasting the electricity demand and factors affecting it was established consequently and was optimized by regression tests.
建立了用电需求量与主要影响因素之间的多元线性回归预测模型，经过回归检验，确定了优化的多元线性回归预测模型。
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。
When multiple outliers occur in linear regression model or the distribution of residuals is not normal, we can use residuals rank as weight function to get some resist estimator.
线性回归模型的误差项不服从正态分布或存在多个离群点时，可以将残差秩次的某些函数作为权重引入估计模型来减少离群点的不良影响。
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。
Independent variable of selection decides directly the advantage and disadvantage of the model which is the very important process of the establishment of the linear regression model.
线性回归模型的建立，一个很重要的过程就是自变元的选择，它直接决定着模型的优劣。
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。
Based on the goals of development strategy of the company, the paper predicts the demands and supply of human resources by means of multiple linear regression model and Markov's model.
并且根据该公司今后的战略目标，利用多元回归模型与马尔可夫模型对其人力资源的需求和供给情况进行了预测。
Based on the goals of development strategy of the company, the paper predicts the demands and supply of human resources by means of multiple linear regression model and Markov's model.
并且根据该公司今后的战略目标，利用多元回归模型与马尔可夫模型对其人力资源的需求和供给情况进行了预测。
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