Comparison of Parametric and Non-Parametric Estimation Methods in Linear Regression Model
Alphanumeric Journal, cilt.7, sa.1, ss.13-24, 2019 (TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 7 Sayı: 1
- Basım Tarihi: 2019
- Doi Numarası: 10.17093/alphanumeric.346469
- Dergi Adı: Alphanumeric Journal
- Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.13-24
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Ondokuz Mayıs Üniversitesi Adresli: Evet
Özet
In this study, the aim was to review the methods of parametric and non-parametric analyses in simple linear regression model.The least squares estimator (LSE) in parametric analysis of the model, and Mood-Brown and Theil-Sen methods that estimatesthe parameters according to the median value in non-parametric analysis of the model are introduced. Also, various weights ofTheil-Sen method are examined and estimators are discussed. In an attempt to show the need for non-parametric methods,results are evaluated based on real life data.