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.
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.
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.
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.
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.
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.
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.
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.
采用二次多项式逐步回归分析法建立了三元不对称有机磷酸酯类杀虫剂的多元非线性构效关系回归模型。
Nonlinear multiple regression model on the structure activity relationship of ternary dissymmetric organic phosphate insecticide is obtained by quadratic polynomial stepwise regression method.
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.
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.
研究结果表明，原始光谱经均值中心化、一阶微分和正交信号校正预处理后，运用多元线性回归法所建葡萄糖和果糖定量分析模型最优。
The MLR mathematical model that established with orthogonal signal correction plus first derivative and mean centre preprocessed spectra shows the best result for glucose and fructose.
K8前起落架两数据处理中，在分析了力学与数理方法的基础上，采用数理统计中线性回归的方法进行处理，其数学模型为多元线性回归方程。
The linear regression of mathematical statistics is used to deal with the two data of landing gear of K8 aircraft after the dynamics and mathematics are analyzed.
然而，在多元线性分析方法中，当求解因变量对自变量的回归时，得到的组合系数往往均不为零，因此这种回归模型的主要缺点是缺乏可解释性。
However, when try to regression independent variables to the dependent variables in multivariate analysis, the coefficients are all non-zero. So these models lack of interpretation.
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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