NEW 05.04.2019 More students this year. I keep grading your exams and put the results in Ladok

Statistical Inference MSG200/MVE155

This is a webpage for a 7.5 hp undergraduate statistical course starting on Monday 21/1, 2019.

Instructors: Serik Sagitov (lectures, exercises) and Olof Zetterqvist (responsible for bonus assignments)

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.

Course material

Lecture notes including exercises with solutions: click here to download (constantly updated)

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

Lectures and Exercises (for the schedule of classes click here)

Mondays at 13.15-15.00, room Pascal

Tuesdays at 13.15-15.00, room Pascal (no class on 5/2)

Wednesdays at 13.15-15.00, room Pascal (no class on 6/2)

Fridays at 13.15-15.00, room KA (no class on 25/1, room KB on 8/2, no class on 1/3 and 15/3)

Final exam 2019

March 19, 14.00-18.00 (register before February 28)       

June 11, 08.30-12.30, 1st resit exam (register before May 22)

August 29, 14.00-18.00, 2nd resit exam (register before xx)

Grading system and Bonus points

click here
Students feedback

If you have a question on the course content so far that you want me to address once again, please send an email to serik at chalmers.se. I will answer during the nearest lecture to those questions that repeatedly appear in students’ emails.

Old exams with answers

2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004

Useful links

MIT lecture videos