RANDOM DESIGN KERNEL REGRESSION ESTIMATOR

被引：0

作者：

Deshpande, Bhargavi ^{[1
]}

Bhat, Sharada, V ^{[1
]}

机构：

[1] Karnatak Univ, Dept Stat, Dharwad 580003, Karnataka, India

来源：

INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2019年 / 15卷 / 01期

关键词：

Regression estimator; Random design; Mean integrated square error (MESE); Relative efficiency (RE); Adaptive Nadaraya-Watson (NW) estimator; Kernel function;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Nonparametric regression is a useful data analytic tool. Some kernel regression estimators are established for both fixed and random designs. In this paper, we study a varying kernel regression estimator based on half range for random design and its properties. The performance of the estimator with respect to some other estimators is obtained in terms of relative efficiency. The application of estimator is illustrated through a real data.

引用

页码：11 / 17

页数：7

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