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- Objective To explore the application of Generalized Additive Models in medical reserch. 摘要目的探讨广义加性模型在医学研究领域中的应用。
- Methods We introduce the classical robust estimation to generalized additive models. 方法将经典的稳健M估计方法引入广义可加模型。
- To investigate the application of generalized additive models(GAM)to the study of asthma risk factors. 探讨广义相加模型(GAM)在哮喘危险因素研究中的应用。
- Objective To explore the application of Generalized Additive Models in medical reserch . 目的探讨广义加性模型在医学研究领域中的应用。
- Predictive performance of ICW volume based on Pierson formula, multiple linear regression (MLR) and generalized additive model (GAIVI) were evaluated. 我们同时评估皮尔森公式、复迴归线性模型与广义累进模型预测全身细胞内水量之效能。
- Objective In studying the effects of air pollution on human health we use generalized additive models and diagnose the outliers then try to diminish the effect of them. 摘要目的针对大气污染与健康关系研究中拟合广义可加模型时的离群点进行诊断并试图减小其影响。
- generalized additive models ( GAM ) 广义相加模型
- Poisson generalized additive model Poisson广义可加模型
- semi-parametric generalized additive model 半参数广义相加模型（GAM）
- Concurvity in generalized additive models in study of air pollution 广义可加模型共曲线性及其在空气污染问题研究中的应用
- Application of generalized additive model on medical data analysis 广义相加模型在妇幼保健数据分析中的应用
- Keywords dust events;respiratory diseases;upper respiratory tract infection（URTI）;pneumonia;daily hospitalization;semi-parametric generalized additive model（GAM）; 沙尘天气;呼吸系统疾病;上呼吸道感染（URTI）;肺炎;日入院人数;半参数广义相加模型（GAM）;
- generalized additive models GAM模型
- generalized additive model 广义可加模型
- generalized additive model(GAM) 广义可加模型
- For DEA efficient (C 2GS 2) DMU,this paper gives efficient theorems on estimation of returns to scale by additive model in DEA. 对 DEA有效 ( C2 GS2 )的决策单元 ,本文用加性 DEA模型来有效地判断其规模收益情况
- Firstly, an average performance index containing tracking error and control energy over a class of additive model errors is defined. 首先针对一类相加模型误差的描述，定义了一个平均意义上的包含跟踪误差和控制能量的性能指标。
- The new counting cell positions are used to generate additional pole counts. 计数单元的新位置就用来形成新补充的极点数。
- The standard additive model (SAM) was proposed by Bart Kosko who is a professor of electrical engineering at the University of Southern California in 199l. 美国南加利福尼亚大学电子工程系的Bart Kosko教授在1991年提出了著名的标准可加性模型(Standard Additive Model)。
- This false appearance helped generate additional investors into the program. 这种假的表象吸引了更多的投资者。
