NMAK11005U Discrete Models (DisMod)
Introduction to and analysis of a number of statistical models for discrete respons variables: contingency tables, loglinear models, smooth hypthesis in the multinomial distribution, Poisson-regression, logistic regression and proportional odds models, survey sampling. Fundamental concepts about graphical models.
Knowledge
At the end of the course the student will have knowledge about
different types of discrete models, the mathematical relationships
between them, and basic statistical properties of the models. The
student will have the knowledge to
* explain the asymtotic test theory for models for contigency
tables,
* explain the logistic regression model, in the fundamental version
for binary responses, as well as in the modifications for respons
variables with several possible outcomes
* explain the theory for stratified survey sampling and multistage
survey sampling
* explain fundamental concepts within the theory of graphical
models
Skills
The student will acquire the skills to apply discrete models to
real data, decide on which model to use and which analysis to
perform. The student will have the skills to utilize theoretical
results in the practical analysis, including how complex models can
be specified by use of several covariates.
Competencies
At the end of the course the students will have the competence to
* carry out the analysis of 2-sided, 3-sided and generally k-sided
contigency tables, theoretically as well as in practise.
* carry out practical analysis of simple graphical models.
* conduct the practical analysis of complex regression models with
response variables with a small number of possible outcomes.
* carry out practical survey analysis in simple situations.
- Category
- Hours
- Exam
- 45
- Lectures
- 28
- Practical exercises
- 9
- Preparation
- 112
- Theory exercises
- 12
- Total
- 206
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- Credit
- 7,5 ECTS
- Type of assessment
- Written examination, 24 hours24 hours take-home exam.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner for the ordinary exam.
Several internal examiners for the oral re-exam. - Re-exam
- 30 minuttes oral exam.
Criteria for exam assesment
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome.
Course information
- Language
- English
- Course code
- NMAK11005U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 1
- Schedule
- B (Mon 8-12 + Tues 13-17 + Fri 8-12)
- Course capacity
- No limits
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Course responsibles
- Therese Graversen (9-4a7564796875766871437064776b316e7831676e)
Lecturers
Carsten Henrik Wiuf