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。
A multivariate regression equation was deduced with a multivariate linear regression model.
通过多元线性回归模型，得出了多因子复合流变方程。
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。
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。
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。
The missing data were analysed with sample selection model and compared with traditional linear regression model.
应用样本选择模型对模拟数据进行分析，并与传统线性回归模型进行比较。
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。
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。
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。
The expenditure of the funds for scientific research is predicted by means of the GM(1,1)Model and the Linear Regression Model with high accuracy.
本文运用了灰色GM（1，1）模型及线性回归模型对科技经费投入进行预测，从实际算例可知其精确度是相当高的。
On account of the conventional linear regression model is sensitive to specific abnormal data, thus leads to instability of the regression equation.
由于常规线性回归模型对个别异常数据敏感，导致回归方程欠稳定。
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。
Linear regression model that can be used to research risk, insurance, portfolio and also can be applied to expect is most common used econometrics model.
线性回归模型是最常用的经济计量模型，用于研究风险、保险、资产组合等经济问题，也可以用作经济预测。
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。
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。
Method Questionnaire and human capital method were used in calculation of economic burden of disease and the multi linear regression model was explored to analyze the factors.
方法菌痢患者的直接经济负担通过问卷调查获得，间接经济负担采用人力资本法估算，运用多元线性回归模型分析疾病经济负担的影响因素。
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
线性模型是很重要的一类统计模型，它包括线性回归模型、方差分析模型、协方差分析模型和方差分量模型等等。
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。
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。
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