• Genelleştirilmiş Doğrusal Mekânsal Modellere Koşullu Otoregresif Model Yaklaşımı 

      Bakacak, Leyla (Fen Bilimleri Enstitüsü, 2018)
      Spatial analysis is a method used to describe spatial patterns on a geographical region. During this analysis, the attributes and location information of the objects forming the spatial data are used. Response variable ...
    • Ölçüm Sistemleri Analizinde Varyans Bileşenlerinin Tahminleri 

      Dindaş, Zeliha (Fen Bilimleri Enstitüsü, 2018)
      In this thesis study, using the ANOVA, Maximum Likelihood Estimation (ML), Restricted Maximum Likelihood Estimation (REML) and Minimum Norm Quadratic Estimation (MINQUE) methods, how to apply these estimates to the Measurement ...
    • REGRESSION DISCONTINUITY DESIGN: AN APPLICATION IN ECONOMICS 

      Arslan, Neslihan (Fen Bilimleri Enstitüsü, 2017)
      Regression Discontinuity Design (RDD) is developed as an alternative to ex-post facto experiments. It is an approach causally estimating treatment effects in non-experimental designs. The Regression Discontinuity Methodology ...
    • Regresyon Süreksizliği Yönteminde Parametrik Olmayan Tahmin 

      Dindaş, Serdar (Fen Bilimleri Enstitüsü, 2018)
      Regression discontinuity is a quasi-experimental impact evaluation method of assessment which is used in cases where control and effect groups can not be generated before the implementation of the program. In this method, ...
    • Yaşam Çözümlemesinde Kümelenmiş Başarısızlık Süresi 

      Kutay, Sümeyye (Fen Bilimleri Enstitüsü, 2018)
      Survival analysis is a collection of statistical methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest. The time is called "failure time" or "survival time". Here, ...