机译:使用偏最小二乘回归估计流行病学中年度PM_(2.5)浓度的区域化全国通用克里格模型
Department of Statistics, University of Washington, Box 354322, Seattle, WA 98195-4322, USA;
Department of Applied Mathematics, University of Washington, Box 352420, Seattle, WA 98195-2420, USA;
Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195-7232, USA;
Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195-7232, USA;
Department of Environmental and Occupational Health Sciences, University of Washington, Box 357234, Seattle, WA 98195-7234, USA;
Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, WA 98195-2700, USA;
Department of Environmental and Occupational Health Sciences, University of Washington, Box 357234, Seattle, WA 98195-7234, USA;
Ambient air quality; Land use regression; National air quality model; Partial Least Squares; Particulate matter; Universal kriging;
机译:使用土地利用回归模型估算年度和季节性PM_1,PM_(2.5)和PM_(10)浓度
机译:使用土地使用回归模型估计年度和季节性PM_1,PM_(2.5)和PM_(10)浓度
机译:基于土地利用回归,卫星测量和通用克里金法的中国国家PM_(2.5)和NO_2暴露模型
机译:九州地区PM_(2.5)浓度的空间分布估算使用回归克里普林地区PM_(2.5)浓度的映射映射
机译:具有函数协变量的名义多项式对数回归模型的广义偏最小二乘方法。
机译:使用偏最小二乘回归的区域化国家通用克里格模型用于估计流行病学中的年度PM2.5浓度
机译:一种区域化的国家通用Kriging模型,使用部分最小二乘回归估算流行病学年度PM2.5浓度
机译:通过将最小二乘法应用于平方或绝对残差估计异方差回归模型中的权重