DRE 7008 Advanced Statistics
DRE 7008 Advanced Statistics
The aim of the course is to equip the students with a formal understanding of the statistical foundations of econometrics at a level expected among Ph.D students in economics, finance and related disciplines.
After taking this course, students should have a solid knowledge of the foundations of theoretical and applied econometrics, so that they can critically use and evaluate others' use of statistical techniques in economics and related fields. Moreover, students will be introduced to the use of advanced programming languages.
1. Probability and Random Variables
2. Expectation and Conditional Expectation
3. Estimation
4. Hypothesis Testing
5. Computomg and Numerical Optimisation
6. Model Selection
Enrollment in a PhD programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of enrollment in a PhD programme when signing up for a course. Other candidates may be allowed to sit in on courses by approval of the course leader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or confirmation letters will not be issued for sitting in on courses.
| Assessments |
|---|
Exam category: Submission Form of assessment: Written submission Weight: 100 Grouping: Individual Duration: 1 Semester(s) Exam code: DRE70081 Grading scale: Pass/fail Resit: All components must, as a main rule, be retaken during next scheduled course |
| Activity | Duration | Comment |
|---|---|---|
Group work / Assignments | 75 Hour(s) | Specified learning activities (including reading). |
Student's own work with learning resources | 75 Hour(s) | Autonomous student learning (including exam preparation). |
Teaching | 30 Hour(s) |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.