Akademik Dersler - İçerik

It applies nonlinear models.
Explains the theoretical structure and basic assumptions of nonlinear models.
Selects and applies appropriate nonlinear model types for different data structures.
Interprets estimation results of nonlinear models and evaluates model performance.
It performs econometric modeling suitable for spatial and specific data structures.
Recognizes spatial data structures and explains the concepts of spatial dependence and spatial heterogeneity.
EN: Explains the Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), Spatial Durbin Model (SDM) models.
Selects, applies, and interprets the appropriate model according to the data structure.
Selects, applies, and interprets the appropriate model according to the data structure.
It applies restricted dependency regression models.
Recognizes censored data structures and explains types of censoring.
Explains the theoretical structure, assumptions, and application areas of Tobit, Probit, and Logit models.
Selects, applies, and interprets the appropriate Tobit, Probit, or Logit model according to the data structure.