The large sample property of kernel smoothing product limit estimation under random right censorship;
随机右删失下核光滑乘积限估计的大样本性质
This paper presents the partial kernel smoothing estimation and its estimation deviation of the model parameters in partial linear autoregression model.
给出了部分线性自回归模型的偏核光滑估计及模型参数的估计偏差,并通过构造广义的交叉核实函数对模型中的带宽进行选择,然后利用所得结果建立了煤油电企业商品价格指数的部分线性自回归模型。
Two methods of kernel smoothing in semiparametric regression model are studied that one is related to partial kernel smoothing and the other to partial residual.
讨论了半参数模型核光滑估计的两种方法 ,即偏核光滑估计与偏残差估计 ,通过构造核估计广义交叉核实函数自动选取窗口参数。