• 方法运用多元线性回归分析,确定不同因素患者满意度影响大小。

    Method:The Multiple Linear Regression was used to study the influence of different factors.

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  • 最后运用多元线性回归方程分析化学成分铸铁综合质量指标影响规律。

    The effect of chemical composition on quality target of grey irons is analyzed in the end of the paper.

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  • 运用多元线性回归方法研究油田70沙河组沙电阻油层形成机理

    The multidimensional linear regression method was used in this article to study the formation mechanism of low resistance oil layer at Sha 3 Segment, Shahe Street of Block Xia-70 in Linnan Oilfield.

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  • 基础上,分别运用多元线性回归BP神经网络方法研究边坡稳定性预测模型将其结果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.

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  • 研究结果表明,原始光谱均值中心化、阶微分正交信号校正预处理后,运用多元线性回归法所建葡萄糖果糖定量分析模型优。

    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.

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  • 方法菌痢患者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.

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  • 然后使用ARIMA模型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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  • 文章通过对市场价格预测模型体系介绍综合运用时间序列模型、多元线性回归组合模型预测市场价格走势,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.

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  • 依据鄱阳湖地区1949 ~ 2002年耕地面积社会经济统计数据运用主成分分析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.

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  • 依据鄱阳湖地区1949 ~ 2002年耕地面积社会经济统计数据运用主成分分析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.

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