@Article{AJ_2019.07.01.STAT.02,
    doi     = { 10.17093/alphanumeric.346469 },
    author  = { Tolga Zaman and Kamil Alakuş },
    title   = { Comparison of Parametric and Non-Parametric Estimation Methods in Linear Regression Model },
    abstract = { 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 estimates the parameters according to the median value in non-parametric analysis of the model are introduced. Also, various weights of Theil-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. }
    journal = { Alphanumeric Journal },
    year    = { 2019 },
    volume  = { 7 },
    number  = { 1 },
    pages   = { 13-24 },
    url     = { https://alphanumericjournal.com/article/comparison-of-parametric-and-non-parametric-estimation-methods-in-linear-regression-model },
}