STAT2011 Statistical Models

This page contains information on the Intermediate Unit of Study STAT2011: Statistical Models.

This unit is offered in Semester 1.

The lecturer for this unit of study is Michael Stewart.

For further information on Intermediate Mathematics and Statistics, refer to the Intermediate Handbook.

You may also view the Faculty Handbook entry for STAT2011 from the central units of study database.

• Credit point value: 6CP.
• Classes per week: Three lectures, one tutorial and one computer laboratory session.

Links for STAT2011

• Prac exam results
• Quiz results: week 5 week 9 week 13.
• Some comments about the exam:
  • Students may not take a sheet of notes into the exam.
  • You will need to know general results, like
    • the convolution formula
    • how to compute a theoretical variance
    • how to compute the cdf of a sample maximum or minimum
    • combinatorial results
    but you will not need to know distribution-specific formulae, like
    • forms of the pdf and cdf of different distributions e.g. gamma, Poisson etc..
    • formulae for expectation, variance and other moment-like quantities (coefficients of skewness, kurtosis etc) for different distributions;
    if needed these will be provided.
• Pre-exam consultations: 2-4pm on Thurs 12th, Fri 13th, Mon 16th, Tue 17th, Wed 18th June in Carslaw 818.
• Revision Assignment: Estimation; Solution; negbindata.
• STAT2011 2007 exam. Ignore Q7; it is beyond the scope of the course.
• This year's exam has 4 questions, each of equal value. Make sure you allocate your time accordingly.
• If we make the following rough divisions in the course:
  • Probability (Chapter 2, Lectures 1-13);
  • Distribution Theory (Chapters 3 and 4, Lectures 13-35);
  • Estimation (Chapter 5, Lectures 36-38)
  then the questions on the exam cover the following parts:
  • Q1: Probability, Distribution Theory
  • Q2: Probability
  • Q3: Distribution Theory, Estimation
  • Q4: Distribution Theory, Estimation
  There is thus less emphasis on the earlier parts of the course, which have already been partly examined via the quizzes.
• gamma.pdf; (text file).
• REMINDER: PRAC EXAM IN WEEK 13. Students must attend their regular computer class. If for some reason (illness, misadventure etc.) a student wishes to change classes, they must follow the standard special consideration procedure.
• REMINDER: QUIZ IN WEEK 13. There will be 3 questions, one on each of sections 3.5, 3.6 and 3.7. A sample quiz is available; solutions are now available.
• REMINDER: QUIZ IN WEEK 9. There will be 4 questions, one on each of sections 2.7, 3.2, 3.3 and 3.4. A sample quiz is available; solutions are now available.
• Results for the week 5 quiz are now available. Please check that your mark is correct. If you think there has been an error, please make an appointment (via email) to talk to Michael about it.
• There was a typo in the original sample quiz. It has been replaced with a corrected version: SAMPLE QUIZ for week 5 WITH CORRECTIONS. Solutions are now available.
• QUIZZES and ASSIGNMENTS. There will be no marked assignments this semester. Instead,
  1. we will have a third quiz and
  2. we will have two ''unmarked'' assignments.
  The quizzes will be in weeks 5 (3 questions, 15 minutes), 9 (4 questions, 20 minutes) and 13 (3 questions, 15 minutes), each question being multiple choice and worth 1% each. Each quiz question will be based on questions from (a) specific section(s) of the textbook. Thus for the week 5 quiz, we have
  • Q1: 2.2
  • Q2: 2.3
  • Q3: 2.4
  Students must sit the quiz in their timetabled tutorial class, that is whichever class they are on the roll for. Michael will be available for last-minute consultations on Friday afternoon 3pm to 5pm in room 818.
• Lecturer's Home Page.
• Useful information, including assessment details
• The textbook is "An Introduction to Mathematical Statistics and Its Applications" (4th edition) by Richard J. Larsen and Morris L. Marx.
• Lectures
  • Week 1: Lecture 1 Lecture 2 Lecture 3
  • Week 2: Lecture 4 Lecture 5 Lecture 6
  • Week 3: Lecture 7 Lecture 8 Lecture 9
  • Week 4: Lecture 10 Lecture 11 Lecture 12
  • Week 5: Lecture 13 Lecture 14 Lecture 15
  • Week 6: Lecture 16 Lecture 17 Lecture 18
  • Week 7: Lecture 19 Lecture 20 Lecture 21
  • Week 8: Lecture 22 Lecture 23 Lecture 24
  • Week 9: Lecture 25 Lecture 26 Lecture 27
  • Week 10: Lecture 28 Lecture 29 Lecture 30
  • Week 11: Lecture 31 Lecture 32 Lecture 33
  • Week 12: Lecture 34 Lecture 35 Lecture 36
  • Week 13: Lecture 37 Lecture 38 Lecture 39
• Tutorial and Computer Exercise Sheets:
  • week 1, p26-7 of text.
  • week 2(note with some changes 12.10pm Monday), pages from text, comp2.
  • week 3
  • week 4
  • week 5
  • week 6
  • week 7
  • week 8
  • week 9
  • week 10
  • week 11
  • week 12
• Tutorial Solutions: week 1; week 2; week 3 first part, second part; week 4 first part, second part; week 5; week 6; week 7; week 8: first part, second part; week 9: first part, second part; third part; week 10: first part, second part, third part, fourth part, fifth part; week 11: first part, second(formerly first) part, third(formerly second) part; week 12: first part, middle part, final part; week 13.
• Computer Exercise Solutions: week 5: text file, pdf file; week 6: text file, pdf file; week 7: text file, pdf file; week 8: text file, pdf file; week 9: text file, pdf file; week 10: text file, pdf file; week 11: text file, pdf file.
• Note that there are tutorials and computer classes in the first week.
• Information for both the the R computing system and the process() utility for preparing computer exercise reports.
• The R guide by Jason Owen.
• There are many user-contributed manuals/guides for R on the R website including two R "Reference Cards", one which is two pages and another which is four pages.