Some new modifications of Kibria’s and Dorugade’s methods : an application to Turkish GDP data
Joint Authors
Oglu, Adnan Kara Ibrahim
Asar, Yasin
Genc, Asir
Source
Arab Journal of Basic and Applied Sciences
Issue
Vol. 20, Issue 0 (30 Jun. 2016), pp.89-99, 11 p.
Publisher
University of Bahrain College of Science
Publication Date
2016-06-30
Country of Publication
Bahrain
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
In multiple linear regression analysis, multicollinearity is an important problem.
Ridge regression is one of the most commonly used methods to overcome this problem.
There are many proposed ridge parameters in the literature.
In this paper, we propose some new modifications to choose the ridge parameter.
A Monte Carlo simulation is used to evaluate parameters.
Also, biases of the estimators are considered.
The mean squared error is used to compare the performance of the proposed estimators with others in the literature.
According to the results, all the proposed estimators are superior to ordinary least squared estimator (OLS).
American Psychological Association (APA)
Oglu, Adnan Kara Ibrahim& Asar, Yasin& Genc, Asir. 2016. Some new modifications of Kibria’s and Dorugade’s methods : an application to Turkish GDP data. Arab Journal of Basic and Applied Sciences،Vol. 20, no. 0, pp.89-99.
https://search.emarefa.net/detail/BIM-689316
Modern Language Association (MLA)
Oglu, Adnan Kara Ibrahim…[et al.]. Some new modifications of Kibria’s and Dorugade’s methods : an application to Turkish GDP data. Arab Journal of Basic and Applied Sciences Vol. 20 (Jun. 2016), pp.89-99.
https://search.emarefa.net/detail/BIM-689316
American Medical Association (AMA)
Oglu, Adnan Kara Ibrahim& Asar, Yasin& Genc, Asir. Some new modifications of Kibria’s and Dorugade’s methods : an application to Turkish GDP data. Arab Journal of Basic and Applied Sciences. 2016. Vol. 20, no. 0, pp.89-99.
https://search.emarefa.net/detail/BIM-689316
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 99
Record ID
BIM-689316