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SYLLABUS

Introduction to Generalised Linear Models (GLIM), 7,5 ECTS Credits

COURSE CATEGORY   Singel Subject Course MAIN FIELD OF STUDY   Statistik - STA SUBJECT AREA     COURSE CODE   732G07

AIM OF THE COURSE

The course provides basic skills for professional work with data, where the variable of interest is either on nominal scale or consists of counts. Having completed the course, the student should be able to, with regard to GLIM at a generalised level: - use knowledge about GLIM that relate observations on nominal scale or count observations to a set of explanatory variables, - display good understanding of major principles for interpretation, estimation and assessment of GLIM, - formulate a specific GLIM upon exploration of a given data set, - use a standard statistical computer package to estimate, assess and predict components of a GLIM from a given data set, - verbally interpret the results from an analysis of a GLIM, - make insightful judgements about the appropriateness of using a GLIM in particular case work.

CONTENTS

The course content comprises - linear models revisited, - exponential families and likelihood concepts, - GLIM as a generic concept, - binary regression models, poisson regression models, and log-linear models. Standard statistical computer packages for analysis of GLIM are used during the course.

TEACHING

The teaching of the course consists of lectures, turorials, supervision and computer exercises. Language of instruction: English.

EXAMINATION

Assignments encompassing computer-based data analysis. One final written or oral examination. Students who have passed an examination may not retake it in order to improve their grades.

ADMISSION REQUIREMENTS

Specific requirements: Documented knowledge of English equivalent to “Engelska B” is required, or an international proficiency test, e.g. TOEFL, minimum score 550/213. The student must have passed courses in statistics corresponding to approximately one year of study.

GRADING

The course is graded according to the ECTS grading scale A-F

CERTIFICATE

COURSE LITERATURE

The course literature is decided upon by the department in question.

OTHER INFORMATION

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Introduction to Generalised Linear Models (GLIM) Introduktion till Generalised Linear Models (GLIM)   Department responsible for the course or equivalent: MAI - Department of Mathematics             Registrar No: 127/07-41   Course Code: 732G07           Exam codes: see Local Computer System       Subject/Subject Area : Statistik - STA                       Level   Education level     Subject Area Code   Field of Education   G2X   Basic level     STA   SA