Statistics, Econometrics, Second Cycle, 7.5 Credits
This course covers basic methods in multiple linear regression analysis and some of the alternative models that can be used when the linear model is inadequate. It provides the theoretical basis for a complete understanding of econometric methods along with their practical implementation using statistical software. Course-specific machine learning methods will be included. Some advanced methods related to non-linear regression models will be discussed as well. The material will help the students find appropriate statistical methods and apply them correctly to real data.
ECTS Credits
7.5 Credits
Level of education
Second cycle, has second-cycle course/s as entry requirements (A1F)
School
Örebro University School of Business
When is the course offered?
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Prerequisites: First-cycle courses of 90 credits in Statistics, alternatively first-cycle courses of 30 credits in statistics and 60 credits in mathematics, alternatively first-cycle courses of 60 credits in statistics including 7.5 credits of Statistical theory and 7.5 credits of Regression analysis/Econometrics. The applicant must also have the course Statistics, Probability Theory, Second Cycle, 5 credits and qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.
Selection: Academic points
Application code: V2350
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Prerequisites: First-cycle courses of 90 credits in Statistics, alternatively first-cycle courses of 30 credits in statistics and 60 credits in mathematics, alternatively first-cycle courses of 60 credits in statistics including 7.5 credits of Statistical theory and 7.5 credits of Regression analysis/Econometrics. The applicant must also have the course Statistics, Probability Theory, Second Cycle, 5 credits and qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.
Selection: Academic points
Application code: V2653