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

页码：3989 / 4002

页数：14

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