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Applied Statistics - Global economy and business
91950
Description
Course contents
  • Basics of statistical inference. 
  • Simple Linear Regression. 
  • Multiple Regression. 
  • Weighted regression. 
  • Polynomial Regression. 
  • Regression with categorical predictors. 
  • Dummy variables. 
  • Transformations. 
  • Regression Diagnostics: Residuals, Outliers and Influence. 
  • Nonconstant Variance. 
  • Variance Stabilizing Transformations. 
  • Graphs for Model Assessment. 
  • Variable Selection. 
  • Nonlinear Regression. 
  • Binary response regression. 
  • Experimental and observational studies/variables. 
ECTS credits
12
Teaching Language
English
Exam Language
English
Support Materials Language
English
Basic Learning Outcomes
Managing Entity (faculty)