摘要
给出了回归函数向量及相应的核估计向量的定义．并证明了在一定条件下核估计向量具有渐近正态性，从而推广了［１］中的Ｓｃｈｕｓｔｅｒ定理。
This article gives the definitions of both the regression function vector and its corresponding kernel estimate one. It is proved that the kernel estimate vector has the asymptotic normality under some conditions. Therefore,the author coms to a wider conclusion than that of Schuster theorem[1].
出处
《武汉水利电力大学学报》
CSCD
1994年第5期548-554,共7页
Engineering Journal of Wuhan University
关键词
回归函数
渐近正态份布
非参数估计
核函数
non-parametric estimate
kernel functions
asymptotic normal distribution
