Last updated 23 March 2017
This is a webpage for a 7.5 hp undergraduate statistical course starting on Monday 16/1, 2017.
Textbook: Mathematical statistics and data analysis, 3rd edition, by John Rice
Course syllabus is here.
This is a second course in mathematical statistics suitable for students with different backgrounds. It builds upon an introductory course in probability and statistics to give a deeper understanding of
some traditional topics in mathematical statistics such as methods based on likelihood,
topics in descriptive statistics and data analysis with special attention to graphical displays,
aspects of experimental design.
The course introduces a number of standard tools of statistical inference including bootstrap, parametric and non-parametric testing, analysis of variance, and basics of Bayesian inference.
Mondays at 13.15-15.00, room Pascal
Wednesdays at 13.15-15.00, room Pascal (no class 8/2, 8/3)
Exercises (a link to the lists of exercises)
Tuesdays at 15.15-17.00, room Euler (no class 7/2)
Fridays at 13.15-15.00, room MVH12 (no class 10/3)
March 14, 2017, 14.00-18.00
June 07, 2017, 14.00-18.00
Grading system and Bonus points: click here.
The year 2016 course evaluation: click here.
For the 2017 course I will (a) shorten the list of recommended exercises, and (b) improve the routines for the bonus assignments.
Old exams with answers