Course
General statistical methods (STA903)
Depending on the research project and the background of the candidate, the following topics will be covered with varying weights: Statistical inference theory; Large sample theory; Computer intensive methods; Robust estimation and non-parametric methods; and selected topics in time series analysis, stochastic processes, survival analysis or multivariate statistics.
Dette er emnebeskrivelsen for studieåret 2018-2019. Merk at det kan komme endringer.
Semesters
Fakta
Emnekode
STA903
Vekting (stp)
10
Semester undervisningsstart
Autumn
Undervisningsspråk
English, Norwegian
Antall semestre
1
Vurderingssemester
Autumn
Timeplan
Content
Depending on the research project and the background of the candidate, the following topics will be covered with varying weights: Statistical inference theory; Large sample theory; Computer intensive methods; Robust estimation and non-parametric methods; and selected topics in time series analysis, stochastic processes, survival analysis or multivariate statistics.
Learning outcome
After having completed the course the student will have knowledge about central notions and ideas in advanced statistical theory and applications. She is able to use this to understand advanced literature as a tool in her own research.
Forkunnskapskrav
Ingen
Exam
Fagperson(er)
Head of Department:
Bjørn Henrik AuestadCourse teacher:
Jan Terje KvaløyCourse coordinator:
Jan Terje KvaløyCourse teacher:
Tore Selland KleppeCourse coordinator:
Tore Selland KleppeCourse teacher:
Jörn SchulzMethod of work
Lectures and guided self-tuition.
Åpent for
Litteratur
The curriculum will depend on the students' research projects, and will be provided at the start of the semester.
The course description is retrieved from FS (Felles studentsystem). Version 1