ST2304 Statistisk modellering for biologer/bioteknologer (våren 2019)

To hand in exercises – go to Blackboard.

Emnet går i Blackboard Vår 2019.

Course material (lecture notes etc.) are here

For å få full tilgang til emnet, så må du

• ha en aktiv NTNU-brukerkonto
• ha betalt semesteravgift for våren 2018
• være undervisningsmeldt i emnet (sjekk på StudentWeb)

Kontakt faglærer Bob O'Hara hvis du fremdeles ikke har tilgang.

Week 1

• Lecture
• Exerices

Week 2

• Lecture, A Bit More R
• Lecture, Tuesday
• Lecture, Wednesday

Week 3

• Lecture, Confidence, in intervals
• Exercises 1

Week 4

• Lecture, Normal Distribution and t
• Exercises 2
• Groundhog Day Data (csv)
• Zombie Exercise Data (csv)

Week 5

• Lecture, Regression
• Script
• Exercises 3

Week 6

• Lecture
• Simulated data (csv)
• Exercises 4, part 1
• Exercises 4, part 2

Week 7

• Lecture 1
• Lecture 2 (one slide added afterwards to explain how to plot polynomials)
• Schey Dust data (csv)
• Alien Data (csv)
• Australia Data (csv)

Week 8

• Work material (we won't have a lecture, just work through this and ask questions)
• Solutions to Analysis 1 (the other analyses will form part of the exercises you need to hand in)
• Barley Yield Data (csv)

Week 9

• Work material (this will be similar to last week)

Week 10

• Lecture 10: Model Selection

Week 11

• Lecture 11: Generalised linear models
• Lecture 11: Generalised linear models 2

Week 12

• Lecture 12a: Binomial GLMs
• Lecture 12b: Binomial GLMs
• Exercises 10
• House Sparrow Data (csv)
• Sheep Data (csv)

Week 13

• Lecture 13: Poisson GLMs (Tuesday only)
• Lecture 13: Poisson GLMs
• Himmicanes Data (csv)