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Theory Lectures

The lectures are organised in main modules (topics), including exercise lectures, for a total of 3.5 ECTS. In Finland, 1 ECTS equals 27h of course workload, so this course is designed to fulfill 94.5h, distributed in ca. 28h of direct interaction and lectures, ca. 14h of practical lectures and the rest in preparing the lectures, assignments and tasks.


Topic 1. Background concepts

statistical thinking - probability - randomness - distributions


Topic 2. Main tools
expectation - hypothesis tests - p-values - inference


Topic 3. Models
regression - linear models - parameter estimation - model assessment


Topic 4. Advanced methods
Non-linear models - geostatistics - hierarchical models



Recommended books for reference

Reference materials (regression)

Hamilton, L. C. (1992) Regression with Graphics, A second course in applied statistics. Duxbury Press

Advanced learning materials (statistical basis)

Wonnacott, R; Wonnacott, T, (1985) Introductory Statistics, 4th edition, John Wiley and sons.

Wheater, C. P; Cook, P. A. (2000) Using statistics to understand the environment. Routledge Introductions to Environment Series

Access to journals and articles

Remember that, as UEF student, you have access to these books even remotely. That means you do not have to pay for accessing or downloading them. You should follow the instructions for remote access, and you can log in with your UEF credentials.

 PRIMO [here]

You can search through book collections for reading online. More information is available at the library web pages or at the UEF introductory courses organised in September.


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