Last updated 6 April 2016
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