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, Page 21-33 PDF (392.1 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/esju.2021.189436 | ||||
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Authors | ||||
Ahmed A. E.1; Amal H. A.2; Hassan M. Ali2 | ||||
1Department of Applied Statistics and Econometrics, Faculty of Graduate Studies for Statistical Research, Egypt | ||||
2Department of Statistics, Faculty of Commerce, Zagazig University, Egypt | ||||
Abstract | ||||
In this article , a new class of estimator called the almost Unbiased Liu Principal Component Estimator (AULPCR) for the multiple linear regression model with autocorrelated 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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