ρ-混合下回归函数改良核估计的渐近正态性  

Asymptotic normality of the improved Kernel estimator for regression function under ρ-mixing samples

作　　者：周兵[1] 潘丽静[1,2] 

机构地区：[1]西北大学数学系,陕西西安710127 [2]渭南师范学院数学与信息科学系,陕西西安714000

出　　处：《高师理科学刊》2010年第1期40-43,共4页Journal of Science of Teachers＇College and University

摘　　要：利用混合序列基本不等式,把φ-混合样本下回归函数改良核估计的渐近正态推广到了ρ-混合样本情形.所得结果对条件的要求要比φ-混合样本情形的弱.Using the elementary inequality of mixing sequence, promoted the asymptotic normality of the improved Kernel regression function estimate from φ-mixing samples to ρ-mixing samples. And the restrictions on conditions of ρ-mixing samples is less than that of φ-mixing samples.

关 键 词：回归函数 改良核估计 Ρ-混合 渐近正态性 

分 类 号：O212.7[理学—概率论与数理统计]