摘要
本论文考虑响应变量缺失下变系数部分非线性模型的统计推断,我们采用完全数据方法下的轮廓非线性最小二乘来估计未知参数和非参函数,同时建立了估计量的渐近正态性。
In this paper, we consider statistical inferences for varying coefficient partially nonlinear model with missing responses. The profile nonlinear least-squares estimation process based on the complete data method is employed to estimate the unknown parameter and the nonparametric function, and the asymptotic normality of the resulting estimators is proved.
出处
《统计学与应用》
2020年第4期676-683,共8页
Statistical and Application
关键词
变系数部分非线性模型
轮廓非线性最小二乘
缺失响应变量
Varying Coefficient Partially Nonlinear Model
Profile Nonlinear Least-Squares Estimation
Missing Responses