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.
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.
多元灰预测模型呈现出较高的精度以预测硫酸盐侵蚀环境下混凝土的强度劣化规律和服役寿命。
Multivariate grey prediction model shows enough precision to predict the strength development and service life of concrete subjected to sulfate environment.
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.
实证分析结果表明：其一，我国上市公司财务比率不服从正态分布，因而不适宜使用多元线性判别分析方法建立财务危机预测模型；
The results are as the following: firstly, financial ratios aren't identical to the normal distribution, so it's not suitable to conduct the early-warning model by Linear Multiple Discrimant Analysis.
与多元线性回归、模糊回归和自适应模糊神经网络相比，该模型学习精度高且具有较好的泛化能力，能取得较好的预测效果。
Comparing with the models based on multiple statistic analysis, generalized regress-ion neural network or adapted fuzzy neural network model, it shows better learning precision and generalization.
再以广义回归神经网络建立预测模型，与灰预测模型、多元回归模型进行预测能力及报酬率的比较分析。
It is found that it is better to predict the return rate with general regression neural network than with grey prediction and multiple regression model.
在此基础上设计储层保护数据库及敏感预测系统软件，并通过多元统计回归分析提出了储层敏感性预测模型。
Based on it, this article puts forward a reservation - layer protection data and sensitivity prediction system software, and raises a sensitivity prediction model through multiple - statistics.
采用多元正交多项式回归方法建立了冬小麦生产经济收益预测的多元正交多项式回归模型。
We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.
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。
The multiple linear regression model for forecasting the electricity demand and factors affecting it was established consequently and was optimized by regression tests.
研究了任意秩多元线性模型中最优线性无偏预测的稳健性，即对任一线性可预测变量，得到了其关于协方差矩阵具有稳健性的充要条件。
The conditional optimal prediction of the conditional predictable variable in the multivariate linear model with arbitrary rank and linear equality constrains was investigated.
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.
在多元回归模型建立的过程中，由于各个变量的测量单位不相同，多元回归模型无法正确地评估出各个分量对预测值直接的和间接的影响。
The model of multi-regression cannot correctly distinguish the direct and indirect effects from different components in the process of building because the measuring units have differences.
在此基础上，得到了多元曲线回归的预测模型，拟合率为100%。
The mathematical model of multivariate curve regression analysis was obtained and the corrective ratio was 100%.
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.
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.
基于经典的线性预测回归模型，引入了模糊因素对预测结果的影响，构成了二级模糊因素的多元线性回归法。
Based on the classical model of liner regression and considering effects of fuzzy factors on load forecasting, a liner regression method of tow-layer fuzzy factors for load forecasting is established.
采用多元逐步回归法建立了揭示模型线性关系的QSAR模型，对模型进行稳定性检验，并采用样本集外的化合物对所建立的QSAR模型进行预测；
The QSAR model was built with the multiple linear step regression method, and it was tested for the stability with other sample compounds.
方法 ：采用加速试验 ，经典恒温法和多元线性模型预测其有效期。
METHODS Accelerated test classical constant temperature method, and multi-variation linear model were used to estimate shelf life.
采用多元时间序列分析的方法，对油水井动态特性进行了分析，建立了油井含水率的多因素预测模型。
Multivariate time series method is used to analyze the performance of oil production and injection Wells. A multi factor model for predicting the water cut in oil well is presented.
另外采用多元回归分析法建立了世界优秀十项全能运动员成绩预测模型并对其预测准确度进行了检验。
The paper also adopts the multiple regression analysis to construct the world excellent decathletes achievement prediction model and test the model's effect.
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。
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.
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.
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.
方法：根据1998至2 0 0 0年的住院大病病案首页，采用多元逐步回归分析等统计方法构建住院费用预测模型。
Methods: Based on the first page of the case data from 1998 to 2000, the cost forecasting model of the hospitalization expenditure were established, applying stepwise regression analysis.
然后又使用ARIMA模型对新增农业劳动力指数、第三产业指数进行长期预测，并根据二者的长期预测值，运用多元线性回归分析对城镇实际失业率进行长期预测。
It will be used to forecast the short-term rate of town unemployment in 2003. Then the article makes the long-term forecast on the new agriculture labor force and the third industry index by ARIMA.
然后又使用ARIMA模型对新增农业劳动力指数、第三产业指数进行长期预测，并根据二者的长期预测值，运用多元线性回归分析对城镇实际失业率进行长期预测。
It will be used to forecast the short-term rate of town unemployment in 2003. Then the article makes the long-term forecast on the new agriculture labor force and the third industry index by ARIMA.
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