(2020). Almost Unbiased Liu Principal Component Estimator In The Presence of Multicollinearity and Autocorrelation. test, 64(1), 21-33. doi: 10.21608/esju.2021.189436
. "Almost Unbiased Liu Principal Component Estimator In The Presence of Multicollinearity and Autocorrelation". test, 64, 1, 2020, 21-33. doi: 10.21608/esju.2021.189436
(2020). 'Almost Unbiased Liu Principal Component Estimator In The Presence of Multicollinearity and Autocorrelation', test, 64(1), pp. 21-33. doi: 10.21608/esju.2021.189436
Almost Unbiased Liu Principal Component Estimator In The Presence of Multicollinearity and Autocorrelation. test, 2020; 64(1): 21-33. doi: 10.21608/esju.2021.189436

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

The Egyptian Statistical Journal
Article 2, Volume 64, Issue 1, June 2020, Pages 21-33    PDF (392.1 K)
Document Type: Original Article
DOI: 10.21608/esju.2021.189436
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.
Keywords
Principal component; Liu estimator-Autocorrelation-Multicollinearity-Unbiasedness-Multiple Linear regression model
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