Probability and Statistics

• Course code: 101MPSE
• Lecturer: prof. RNDr. Daniela Jarušková, CSc.
• Hours dotation: 3 + 2
• Credits: 6
• Course completion: A (Assessment), EX (Exam)

Introduction to probability and statistics with applications, combinatorics, random variables, probability distributions (with emphasis to distributions used in hydrology), Bayesian inference, inferential statistics, estimation of parameters, hypothesis testing, and linear regression.

References

1. Jay L. Devore: Probability and statistics for engineering and the sciences. Duxbury, ISBN-13:978-0-538-73352-6.