Comparison of Parametric and Non-Parametric Estimation Methods in Linear Regression Model

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ZAMAN T., ALAKUŞ K.

Alphanumeric Journal, cilt.7, sa.1, ss.13-24, 2019 (Hakemli Dergi) identifier

  • 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
  • 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.