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Statistical Computation

  • 7.5 credits

In this course you will learn how to solve different statistical computational problems by simulation and estimation with statistical software. The course provides useful knowledge and skills in statistical computing problems such as design of statistical surveys, estimation, and hypothesis testing.

During the course you will learn to carry out simulation experiments. You will work with the statistical softwares SAS, R and Matlab and you will achieve knowledge about numerical matrix algebra, equation solution, function optimization and simulation techniques and basic principles in numerical computation and probability distributions.

  • Course structure

    The course is given at day time, full time.

    The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.

    Teaching format

    The teaching forms consist of lectures and exercises.

    Language: English.

    Course information

    More information for registered students will be found in Athena.

    Assessment

    Examination will comprise a written test and a written or oral report of a compulsory exercise.

    Examiner

    Teachers spring 2020

    Course coordinator

    Frank Miller

    You will find Frank's reception hours in the link above. If you wish to visit Frank outside of his reception hours, you are welcome to e-mail him for an appointment.

    Teaching assistant

    Mahmood Ul Hassan

  • Contact

    If you have questions about the course, please contact the cours coordinator:

    Teachers spring 2020

    Course coordinator

    Frank Miller

    You will find Frank's reception hours in the link above. If you wish to visit Frank outside of his reception hours, you are welcome to e-mail him for an appointment.

    Teaching assistant

    Mahmood Ul Hassan

    If you have questions about studying at the Department of Statistics, please contact our study- and career counselor: Jenny Rosen.

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