About the Nonparametric Estimation of the Bernoulli Regression

被引：3
|
作者：
Nadaraya, E. [1 ]
Babilua, P. [1 ]
Sokhadze, G. [1 ]
机构：
[1] Iv Javakhishvili Tbilisi State Univ, Fac Exact & Nat Sci, GE-0143 Tbilisi, Georgia
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2013年 / 42卷 / 22期
关键词：
Bernoulli regression; Consistency; Kernel estimation; Uniform convergence; Wiener process; 60F05; 62G05; 62G10; 62G20;
D O I：
10.1080/03610926.2011.626550
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
The nonparametric estimation of the Bernoulli regression function is studied. The uniform consistency conditions are established and the limit theorems are proved for continuous functionals on C[a, 1-a], 0<a<1/2.
引用
收藏
页码：3989 / 4002
页数：14
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