机译:具有多个响应的过饱和设计的两阶段变量选择策略
Department of Statistics, School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China;
Department of Statistics, School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China;
Department of Statistics, School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China;
Multivariate partial least squares (MPLS); supersaturated design (SSD); stepwise regression; variable selection; variable importance in projection;
机译:用于过饱和设计的两阶段贝叶斯模型选择策略
机译:过饱和设计的两阶段贝叶斯模型选择策略
机译:基于SVM分析超饱和设计的新变量选择方法
机译:样本量小于维的多响应回归中基于C_p统计量的变量选择
机译:超饱和模型中可变选择方法的研究
机译:用于分析与疾病相关的协变量的两阶段研究设计:链接阈值和病例选择策略
机译:分析过饱和设计的变量选择方法