Institute of Mathematics and Statistics
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  • Eesti keel
  • Courses
  • 2020/21 spring
  • Generalized linear models (MTMS.01.011)

Generalized linear models 2020/21 spring

  • Main
  • Lectures
  • Labs

Lectures

Lecture slides:

  • Slides 1. Introduction. Background: normal version | print version
  • Slides 2. Exponential family: normal version | print version
  • Slides 3. Hypotheses. Goodness of fit. Model diagnostics: normal version | print version
  • Slides 4. Models with normal response: normal version | print version
  • Slides 5. Models with continuous response: normal version | print version
  • Slides 6. Models with binary response: normal version | print version
  • Slides 7. Count data models I. Poisson model: normal version | print version
  • Slides 8. Count data models II. Negative binomial model: normal version | print version
  • Slides 9. Count data models III. Models with excess zeros: normal version | print version
  • Slides 10. Count data models IV. Zero-truncated model. Generalized Poisson model: normal version | print version
  • Slides 11. Tweedie models. Compound Poisson models: normal version | print version
  • Slides 12. Models with censored and truncated data: normal version | print version
  • Slides 13. Summary: normal version | print version

  • Institute of Mathematics and Statistics
  • Faculty of Science and Technology
  • University of Tartu
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