A note on some new modifications of ridge estimators
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Academic Publication Council
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Ridge estimator is an alternative to ordinary least square estimator, when there is multicollinearity problem. There are many proposed estimators in literature. In this paper, we propose some new estimators. A Monte Carlo experiment has been conducted for the comparison of the performances of the estimators. Mean squared error (MSE) is used as a performance criterion. The benefits of new estimators are illustrated using a real dataset. According to both simulation results and application, our new estimators have better performances in the sense of MSE in most of the situations.
Açıklama
Anahtar Kelimeler
Monte Carlo Simulation, Mse, Multicollinearity, Ols, Ridge Estimator
Kaynak
Kuwait Journal Of Science
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
44
Sayı
3
