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P000003

Statistics IV: Generalized Linear Models

The course will cover the following topics:



  • binomial and multinomial logistic regression

  • count regression (Poisson, negative binomial)

  • generalized linear mixed models

  • overdispersion and zero-inflation


Syllabus and other information


Syllabus

P000003 Statistics IV: Generalized Linear Models, 4.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Pass / Failed

Language

English

Prior knowledge

Statistics III: Regression Analysis or equivalent

Objectives

The objective of the course is to give an overview of generalized linear models with applications in the agricultural sciences and related fields of research. On completion of the course, the student will be able to:

  • specify generalized linear models including assumptions

  • select an appropriate generalized linear model for a given problem

  • use the statistical software R for generalized linear modelling

  • interpret and evaluate results correctly and draw reasonable conclusions

  • clearly and concisely communicate results and conclusions

Content

The course will cover the following topics:

  • binomial and multinomial logistic regression
  • count regression (Poisson, negative binomial)
  • generalized linear mixed models
  • overdispersion and zero-inflation

Responsible department

Department of Energy and Technology

Course facts

Subject: Mathematical Statistics
Course code: P000003 Application deadline: Location: Uppsala Distance course: No Language: English Responsible department: Department of Energy and Technology Pace: 55%