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131188

Statistical Inference for some Robust Regression Estimators

Article

Last updated: 04 Jan 2025

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Subjects

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Tags

الاحصاء والرياضة والتأمين

Abstract

Abstract The method of least squares of the most commonly used methods for estimating the parameters of linear regression models,this method requires the availability of several assumptions for the capabilities more efficiently. So robust methods can be used to give better results than OLS when there are outliers. This research discussessome robust regression approach and inference for M-estimators. Empirical study illustrates that robust methods aremore efficiency compare the OLS, when the data contain outliers.  

DOI

10.21608/zcom.2016.131188

Keywords

Keywords:Bootstrap, Linear Regression, M- estimators, outliers, Robust Inference, Statistical Inference

Authors

First Name

مشيرة عادل سليمان

Last Name

الأعصر

MiddleName

-

Affiliation

قسم الرياضة والإحصاء والتأمين، کلية التجارة، جامعة الزقازيق، مصر

Email

-

City

الزقازيق

Orcid

-

Volume

38

Article Issue

2

Related Issue

18285

Issue Date

2016-07-01

Receive Date

2020-12-20

Publish Date

2016-07-01

Page Start

23

Page End

46

Print ISSN

1110-7731

Online ISSN

2735-4512

Article File

ZCOM_Volume 38_Issue 2_Pages 23-46.pdf

PDF . 702.6kB

Link

https://zcom.journals.ekb.eg/article_131188.html

Detail API

https://zcom.journals.ekb.eg/service?article_code=131188

Order

26

Type

تجاریة کل ما یتعلق بالعلوم التجاریة

Type Code

1,572

Publication Type

Journal

Publication Title

مجلة البحوث التجارية

Publication Link

https://zcom.journals.ekb.eg/

MainTitle

Statistical Inference for some Robust Regression Estimators

Details

Type

Article

Created At

23 Jan 2023