通过多元线性回归模型，得出了多因子复合流变方程。
A multivariate regression equation was deduced with a multivariate linear regression model.
建立多元线性回归模型，结果表明该模型是很有效的。
Finally if establishes model of multivariate linear regression. The results shows that the model is effective.
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。
And we forecast the vehicle population from 2007 to 2017 by use of multi-linear regression model.
用多元线性回归模型筛选出对预后有影响的因素，并比较各因素的影响大小。
The valuable influence factors were filtrated and formulated with multivariate regression analysis model.
对多元线性回归模型参数的预测，转化为对其变量集合的增广矩阵的叉积阵的预测。
Prediction to the regression parameters was converted to predict cross product matrix of the variable augmented matrix.
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。
Abstract : Objective To explore the pain involved clinical factors during seating dental implant restoration abutments and establish a multivariable linear regression model.
可以看出，多元线性回归模型的估产精度较高，且模型的稳定性较好，具有一定的可行性。
We may see the multi-dimensional linear regression model's estimation precision is higher, and the model stability is better, it has certain feasibility.
多元线性回归模型分析显示：血清tc水平与累积噪声剂量呈正相关，与高温级别呈负相关。
The multiple liner regression model indicated that serum TC level was significantly associated with accumulative noise dose, but negative associate with scale of hot environment.
考虑了几个主要经济因素对居民用电量的影响，并用历史数据拟合出用电量多元线性回归模型。
This paper considers the effects of some economic factors to residential electricity consumption, and builds the multiple liner regressive equations MLRE using historical data.
然后针对模型的稳定性和精度进行交叉验证，并与多元线性回归模型和BP神经网络模型进行对比。
Finally, the performance of information diffusion yield estimation model was compared with multiple linear regression model and BP neural network model.
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。
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。
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.
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。
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.
本文以多元线性回归模型的典则形式为研究对象，从减小均方误差的角度出发，在一定的范围内分析了岭参数K 的存在性和岭估计的优良性。
The investigation object of this paper is the standard canonical form. In order to the mean square error, I analyze the existence and choiceness of ridge regression K in some spectrum.
依据鄱阳湖地区1949 ~ 2002年耕地面积和社会经济统计数据，运用主成分分析和多元线性回归模型等统计方法分析该地区耕地面积变化的驱动因素。
Based on statistical data of cultivated land and social and economic factors from 1949 to 2002 in Poyang Lake region, this paper discusses the driving forces by multi-variable statistical method.
在此基础上，采用了多元线性回归模型、LMBP模型、MOBP模型、VLBP模型与BRBP模型对油气勘探成本进行预测，并对各模型的预测性能进行了比对。
Based on these, multiple linear regression, LMBP, MOBP, VLBP and BRBP model are used to forecast oil-gas prospecting cost, and each of their forecasting performances is compared.
通过多元线性回归分析，建立了用多种测井信息划分、评价储层的数学模型。
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
在介绍了基于最小二乘法的多元线性回归建模方法后，建模了机床的热变形实时预测模型。
After expounding the modeling method of multiple linear regression based on least square algorithm, the thermal distortion model is modelled.
在此基础上，分别运用多元线性回归和BP神经网络方法研究边坡稳定性预测模型，并将其结果与极限平衡分析方法进行对比。
Based on this, forecast model for slope stability was studied by multivariate linear regression and BP neural network methods, and the results were compared with those by limit equilibrium method.
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。
With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
然后应用多元线性回归理论建立了关键测温点的温升和热误差的数学模型。
Then it established the mathematical model of temperature and thermal errors using the polynomial linear regression theory.
分析了上海1995—2004年度每年垃圾产生量的数据，由此提出了可应用于城市垃圾预测的多元线性回归预测模型。
Analyzed the Shanghai for 1995 to 2004 year trash to have the quantity data every year, from this proposed might apply to the town refuse forecast many Yuan linear return forecast model.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
在自主研发的滤光片型近红外检测仪上通过用多元线性回归算法选择最优定量波长，为仪器提供了稳健的定量模型。
A stable quantitative model is provided for a developed filter-based near infrared detection instrument by using a multiple linear regression algorithm to select the optimal quantitative wavelength.
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。
Finally, a linear model is established to forecast diurnal NEE through variance analysis and multiple linear regression methods.
在夏收期间的中期预报中，使用了非线性多元样条函数回归预报模型。
The nonlinear multiple spline progressive regression model is used in the medium-range prediction of sununer harvest.
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。
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.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
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