%0 Journal Article %T 负超可加阵列下非参数回归函数估计的相合性<br>Consistency of estimator of nonparametric regression function for arrays of rowwise NSD %A 李永明 %A 聂彩玲 %A 刘超 %A 郭建华< %A br> %A LI Yong-ming %A NIE Cai-ling %A LIU Chao %A GUO Jian-hua %J 山东大学学报(理学版) %D 2018 %R 10.6040/j.issn.1671-9352.0.2018.076 %X 摘要: 对于随机误差是负超可加阵列情形,考虑了非参数回归模型中未知回归函数的估计问题。在较合理的条件下获得了未知回归函数加权估计量的强相合性。<br>Abstract: With the random error of arrays of rowwise NSD, the estimation of the unknown regression function in the nonparametric regression model is considered. Under certain conditions, the strong consistency of the weighted estimator of the unknown regression function is obtained %K 非参数回归函数 %K 负超可加序列 %K 权函数估计 %K 强相合性 %K < %K br> %K nonparmetric regression function %K NSD sequences %K weighted function estimator %K strong consistency %U http://lxbwk.njournal.sdu.edu.cn/CN/10.6040/j.issn.1671-9352.0.2018.076