The Comparison Between Maximum Weighted and Trimmed Likelihood Estimator of the Simple Circular Regression Model

被引：0

作者：

Mahmood, Ehab A. ^{[1
]}

Midi, Habshah ^{[2
]}

Hussin, Abdul Ghapor ^{[3
]}

机构：

[1] Univ Babylon, Babylon, Iraq

[2] Univ Putra Malaysia, Serdang, Malaysia

[3] Natl Def Univ Malaysia, Kuala Lumpur, Malaysia

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2019年 / 18卷 / 02期

关键词：

Circular regression; maximum likelihood estimator; robust estimation; outliers;

D O I：

10.22237/jmasm/1604188920

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 Maximum Likelihood Estimator (MLE) was used to estimate unknown parameters of the simple circular regression model. However, it is very sensitive to outliers in data set. A robust method to estimate model parameters is proposed.

引用

页数：13

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