Weighted estimators in the linear regression model
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In linear regression model with heteroskedasticity, autocorrelation which violate assumptions about the errors, model may be adapted by Generalized/ Weighted Least Squares metod. In this study, weighted least squares metod are examined. Later, when sample and prior information on parameters simultaneously are given, mixed estimator are examined. Furthermore, in case of incomplete X –matrix, weighted mixed estimator are examined. In addition, weighted mixed ridge estimators and weighted mixed Liu estimators and other mixed estimators which defined by related with these are examined.
Author
Dünya Karapınar
How to Cite
Dünya Karapınar (Master Thesis). Weighted estimators in the linear regression model, 2017, 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)