Last updated 23 March 2017
This is a webpage for a 7.5 hp undergraduate
statistical course starting on Monday 16/1, 2017.
Instructors: Serik Sagitov
(lectures, exercises) and Sebastian Jobjörnsson (responsible for bonus assignments)
Textbook: Mathematical
statistics and data analysis, 3rd edition, by John Rice
Course syllabus is here.
Course description
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.
Lectures (a link to the schedule and lecture notes)
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)
Final exam
March 14, 2017, 14.00-18.00
June 07, 2017, 14.00-18.00
Grading system and Bonus points: click here.
Course evaluation
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
2017,
2016, 2015, 2014, 2013, 2012, 2011, 2010,
2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002