[{"Course code":"PFS0174","Version":1,"English name":"Statistics IV: Generalized Linear Models","Higher education credits":4.0,"Syllabus":"Institutionen för skoglig resurshushållning","Valid from":"2020V","Syllabus approved":"2020-03-05","Level within study regulation":"Third cycle","Subject":[{"Subject":"Mathematical Statistics"}],"Grading scale":"Pass \/ Failed","Language":"Swedish","Entry requirements":"Statistics III: Regression Analysis or equivalent.","Objectives":"The objective of the course is to give an overview of generalized linear models. On completion of the course, the student will be able to: \n\n• specify generalized linear models including conditions and assumptions\n\n• select an appropriate linear model for a given problem\n\n• carry out an analysis based on a generalized linear model in the statistical software R \n\n• interpret and evaluate results correctly and draw reasonable conclusions\n\n• clearly and concisely communicate results and conclusions","Content":"The course will cover the following topics:\n\n• Binomial and multinomial logistic regression\n\n• Poisson regression\n\n• Overdispersion and zero-inflation.\n\n• Generalized linear models and generalized linear mixed models.","Examination formats":"Passed examination in written and\/or oral form. \r\n- If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.\r\n\r\n- The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.\r\n\r\n- If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.\r\n\r\n- For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.\r\n","Organisation":[{"code":"260","Organisation":"Department of Forest Resource Management"}],"Other information":"\r\n- The right to participate in teaching and\/or supervision only applies for the course instance the student was admitted to and registered on.\r\n\r\n- If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.\r\n"}]