RIDGE LEAST SQUARES RATIO ESTIMATOR FOR LINEAR REGRESSION MODEL

被引：0

作者：

Jadhav, N. H. ^{[1
]}

Kashid, D. N. ^{[2
]}

机构：

[1] DRK Coll Commerce, Dept Stat, Kolhapur 416002, Maharashtra, India

[2] Shivaji Univ, Dept Stat, Kolhapur 416004, Maharashtra, India

来源：

INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2018年 / 14卷 / 02期

关键词：

Outliers; Multicollinearity; Least square ratio estimator; Ridge regression;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

In this article, a new estimator is proposed to tackle the simultaneous occurrence of outliers and multicollinearity in the data. The performance of some existing estimators and the proposed estimator is evaluated through mean squared error sense. The study revealed that the proposed estimator outperforms the existing estimators.

引用

页码：439 / 447

页数：9

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