FMSN30/MASM22 Linear and logistic regression, 7.5hp
FMSN40 Linear and logistic regression with data gathering, 9hp
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Register yourself on the course in Ladok at www.student.ladok.se no later than Friday 2 April.
The course starts with the first lecture live in Zoom at 8.15-10.00 on Monday 22 March 2021. See the full schedule under Introduction. You have to be admitted to the course and logged in in Canvas to access the Zoom link. Slides and related material are available without logging in.
We will use the statistical package R. Install it on your computer and make yourself familiar with it. Go through R Intro 1-4 under General R help.
- Rawlings, J.O., Pantula, S.G., Dickey, D.A.: Applied Regression Analysis - A Research Tool, 2ed, Springer, available as e-book,
- Agresti, A. An Introduction To Categorical Data Analysis, 2ed Wiley, 2007, available as e-book.
You must have passed a basic course in Mathematical statistics or Statistics in order to be admitted to this course. Contact the director of studies if you have questions regarding this.
You can find all compulsory items under Assignments in the left hand menu. Their deadlines are listed in the course summary below. These deadlines are hard deadlines! Also see Examination: an overview.
The course is divided into three parts: Linear regression, Logistic regresssion, and Other regressions. Each part is examinated by a project. You can find the outline under Modules in the left hand menu. All lecture notes and other material will show up under the relevant modules.
Anna Lindgren, email@example.com, tel: 046-2224276, MH:136.
Susann Nordqvist, firstname.lastname@example.org, tel: 046-2228550, MH:221.
The syllabus page shows a table-oriented view of course schedule and basics of course grading. You can add any other comments, notes or thoughts you have about the course structure, course policies or anything else.
To add some comments, click the 'Edit' link at the top.