Ridge regression estimator and related estimators
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
To cope with the multicollinearity problem several biased estimators are proposed as an alternative to the ordinary least squares (OLS) estimator. One of the biased estimators is ridge estimator (RE) of Hoerl and Kennard (1970). In this study, RE and many kinds of estimator related with RE are examined. RE in different regression models are also examined. Besides this, two parameter ridge estimator proposed by Lipovetsky and Conklin (2005) is compared with OLS estimator, RE, Stein type estimator under the mean square error matrix criterion. A real data set is analyzed to evaluate the performance of mentioned estimators
Author
Selma Toker
How to Cite
Selma Toker (Master Thesis). Ridge regression estimator and related estimators, 2011, Çukurova University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Çukurova University
- The effects of collaborative video-blog projects on Turkish EFL students' linguistic and digital literacy skills(2025)
- An investigation of violent and nonviolent adolescent' families in terms in terms of family fuctioning, anger and anger expression(2006)
- Adolescents who have single parents family and full family were compared in respect to their life satisfaction and quality of life(2009)
- Credit risk management in banking sector: An application of variables determining credit risk in Turkish banking sector(2011)
- Investigation of psychological symptom levels in adolescents according to gender and family functions(2013)
- Assessing morphological and genetic diversity among traditional African eggplant landraces and detecting salt tolerance and anther culture performance of selected accessions(2022)