Almost unbiased Liu principal component estimator in the presence of multicollinearity and autocorrelation
Joint Authors
Source
The Egyptian Statistical Journal
Issue
Vol. 64, Issue 1 (30 Jun. 2020), pp.21-33, 13 p.
Publisher
Publication Date
2020-06-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Topics
Abstract EN
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.
American Psychological Association (APA)
Ahmad, A. E.& Ali, Hasan M.& Amal H. A.. 2020. Almost unbiased Liu principal component estimator in the presence of multicollinearity and autocorrelation. The Egyptian Statistical Journal،Vol. 64, no. 1, pp.21-33.
https://search.emarefa.net/detail/BIM-1337745
Modern Language Association (MLA)
Ali, Hasan M.…[et al.]. Almost unbiased Liu principal component estimator in the presence of multicollinearity and autocorrelation. The Egyptian Statistical Journal Vol. 64, no. 1 (2020), pp.21-33.
https://search.emarefa.net/detail/BIM-1337745
American Medical Association (AMA)
Ahmad, A. E.& Ali, Hasan M.& Amal H. A.. Almost unbiased Liu principal component estimator in the presence of multicollinearity and autocorrelation. The Egyptian Statistical Journal. 2020. Vol. 64, no. 1, pp.21-33.
https://search.emarefa.net/detail/BIM-1337745
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1337745
