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189436

Almost Unbiased Liu Principal Component Estimator In The Presence of Multicollinearity and Autocorrelation

Article

Last updated: 28 Dec 2024

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Abstract

In this article , a new class of estimator called the almost Unbiased Liu Principal Component Estimator (AULPCR) for the multiple liner regression model with auto correlated error in the presence of multicollinearity problem will be suggested . The properties of the proposed estimator are discussed.

DOI

10.21608/esju.2021.189436

Keywords

principal component, Liu estimator-Autocorrelation-Multicollinearity-Unbiasedness-Multiple Linear regression model

Volume

64

Article Issue

1

Related Issue

26946

Issue Date

2020-06-01

Receive Date

2021-08-15

Publish Date

2020-06-01

Page Start

21

Page End

33

Print ISSN

0542-1748

Online ISSN

2786-0086

Article File

ESJU_Volume 64_Issue 1_Pages 21-33.pdf

PDF . 401.5kB

Link

https://esju.journals.ekb.eg/article_189436.html

Detail API

https://esju.journals.ekb.eg/service?article_code=189436

Order

2

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

Almost Unbiased Liu Principal Component Estimator In The Presence of Multicollinearity and Autocorrelation

Details

Type

Article

Created At

23 Jan 2023