在近红外光谱PLS定量模型的建立过程中训练集样本的选取和潜变量数的确定是十分重要的。因此,该研究以橘叶中橙皮苷的含量检测为例,分别比较了random sampling(RS),Kennard-Stone(KS),duplex,sample set partitioning based on joint x-...在近红外光谱PLS定量模型的建立过程中训练集样本的选取和潜变量数的确定是十分重要的。因此,该研究以橘叶中橙皮苷的含量检测为例,分别比较了random sampling(RS),Kennard-Stone(KS),duplex,sample set partitioning based on joint x-y distance(SPXY)四种训练集样本的选取方法对模型的影响,以及留一交互验证法和蒙特卡罗法对潜变量数确定的影响。结果表明,SPXY法选取的训练集建立的模型优于其他三种方法,蒙特卡罗法能够较好地确定模型的潜变量数并有效地减少过拟合风险,所建模型的交互验证均方根,预测均方根及预测集相关系数分别为0.7681,0.7369,0.9752。展开更多
In this paper, a zero-and-one-inflated Poisson (ZOIP) model is studied. The maximum likelihoodestimation and the Bayesian estimation of the model parameters are obtained based on dataaugmentation method. A simulation ...In this paper, a zero-and-one-inflated Poisson (ZOIP) model is studied. The maximum likelihoodestimation and the Bayesian estimation of the model parameters are obtained based on dataaugmentation method. A simulation study based on proposed sampling algorithm is conductedto assess the performance of the proposed estimation for various sample sizes. Finally, two realdata-sets are analysed to illustrate the practicability of the proposed method.展开更多
文摘在近红外光谱PLS定量模型的建立过程中训练集样本的选取和潜变量数的确定是十分重要的。因此,该研究以橘叶中橙皮苷的含量检测为例,分别比较了random sampling(RS),Kennard-Stone(KS),duplex,sample set partitioning based on joint x-y distance(SPXY)四种训练集样本的选取方法对模型的影响,以及留一交互验证法和蒙特卡罗法对潜变量数确定的影响。结果表明,SPXY法选取的训练集建立的模型优于其他三种方法,蒙特卡罗法能够较好地确定模型的潜变量数并有效地减少过拟合风险,所建模型的交互验证均方根,预测均方根及预测集相关系数分别为0.7681,0.7369,0.9752。
基金The research is supported by the Natural Science Foundation of China(Nos.11271136,81530086,11671303,11201345)the 111 Project of China(No.B14019)+5 种基金the Natural Science Foundation of Zhejiang Province(No.LY15G010006)the China Postdoctoral Science Foundation(No.2015M572598)National Natural Science Foundation of China(CN)[grant number 11671303],[grant number 11201345]:Ministry of Education of the People’s Republic of China(CN)[grant number B14019]China Postdoctoral Science Foundation(CN)[grant number 2015M572598]National Natural Science Foundation of China(CN)[grant number 11271136],[grant number 81530086]Natural Science Foundation of Zhejiang Province(CN)[grant number LY15G010006].
文摘In this paper, a zero-and-one-inflated Poisson (ZOIP) model is studied. The maximum likelihoodestimation and the Bayesian estimation of the model parameters are obtained based on dataaugmentation method. A simulation study based on proposed sampling algorithm is conductedto assess the performance of the proposed estimation for various sample sizes. Finally, two realdata-sets are analysed to illustrate the practicability of the proposed method.
