Last updated 6 April 2016

MSG200/MVE155: Statistisk slutledning (Statistical Inference)

This is a webpage for a 7.5 hp undergraduate statistical course starting on Monday 18/1, 2016.

Instructors: Serik Sagitov (lectures, exercises) and Roza Magsood (responsible for bonus assignments)

Textbook: Mathematical statistics and data analysis, 3rd edition, by John Rice

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 3/2, exercise 17/2)

Exercises (a link to the lists of exercises)

Tuesdays at 15.15-17.00, room MVH12 (no class 2/2)

Fridays at 13.15-15.00, room MVH12 (no class 12/2 and 19/2)

Final exam

March 15, 2016, 14.00-18.00 (registration deadline February 25). Location: rooms HA1, HB1, HB2, Hörsalsvägen 4-14.

Reexamination: June 7, 2016, 14.00-18.00 (registration deadline May 23)

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

March 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002