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 | ||||
View on SCiNiTO | ||||
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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