Statistics 2006-2007
M.Phil. course Tinbergen Institute

Contents

The course is intended for students who have a deficiency in probability and statistics. It starts off with the very first principles of probability and quickly passes on to essential statistical techniques. Estimation and testing theory will be reviewed, including maximum likelihood estimators, likelihood ratio test and (least squares) regression. The course is based on John A. Rice, Mathematical Statistics and Data Analysis, Duxbury Press, Belmont, California. From this book we will treat the chapters 2-6, 8, 9 and 14. All together the topics will be treated in 7 lectures. Students are required to study the corresponding theory and examples in the book as well as to make accompanying exercices.

In the course we treat the following topics.

Sample spaces, probability measures, distribution functions, random variables with discrete and continuous distributions, functions of random variables, multivariate distributions, random vectors, independent random variables, conditional distributions, functions of random vectors and their distributions, expectation and variance, covariance and correlation, the law of large numbers, central limit theorem, chi-square and t-distributions, estimation, method of moments, maximum likelihood, large sample theory, confidence intervals, Cramer-Rao bound, hypothesis testing, Neyman-Pearson paradigm, likelihood ratio tests, confidence intervals, linear regression, least squares estimation of regression parameters, testing regression hypotheses.

Literature

John A. Rice, Mathematical Statistics and Data Analysis, 2nd Edition, Duxbury Press (1995, ISBN: 053420934-3), or 3rd Edition (2007, ISBN: 0534399428). Both editions can be used for this year's course, the new edition probably has more examples and exercises. Second hand copies of the book are sometimes available at Amazon Germany.

You may also want to see pdf copies of some slides.

Prerequisites

Some knowledge of elementary mathematics. The course Mathematics 1 by Jan Brinkhuis offers more than enough. Basic knowledge of probability is required up to the level of chapter 1 of Rice. This chapter will NOT be treated in the course and students are supposed to be familiar with its contents.

People

Peter Spreij (lecturer) and Nalan Basturk (teaching assistant )

Place

Tinbergen Institute Amsterdam (see travel directions and map)
Roetersstraat 31
1018 WB Amsterdam
Phone: 020 5513500

Schedule

Wednesdays (13.30-16.15 in room 410), starting on November 1, but no class on November 22, extra class on Monday November 13 (09.30-12.00 in room E003).
Tutorial and assistance with homework on Mondays (11.00-12.00): November 6, room E014; 13 (12.00-13.00) room E003; 20, room E 014; 27, room E014; December 4, room E014; 11, room E014; 18, room E014.
NB: The E-rooms are in the Economics building, Roetersstraat 15.

Examination

Homework assignments and written exam. Homework has to be handed in every two weeks on a Wednesday, see the schedule below. During the written exam you are allowed to use the book and a pocket calculator. Your final grade F will be a weighted average of your result H of the homework assignments and the result E of the written exam: F=(3E+H)/4.
Date and time of the written exam: December 20, 13.30-16.30.
Place: rooms P.016 and P.018 in the Euclides building of the UvA, Plantage Muidergracht 24, 5 minutes walk from TI.
As an example of what could be asked you could have a look at the exams of December 21, 2005 and June 30, 2006.

Programme

The programme will be roughly the same as that of the previous year, to be found below. Check this page regularly for updates!! The exercises listed below are all useful, but those marked with an asterisk (*) deserve special attention. The numbering of the exercises corresponds to the 2nd edition of the book.

1 Rice, chapter 2
Exercises: chapter 2: 3, 5, 13*, 21, 23, 27*, 33, 41, 44*, 53, 55*, 59*
2 Rice, sections 3.1-3.4, 3.6 (not all details, skip parts that require more than basic knowledge about multiple integrals)
Exercises: chapter 3: 1, 3, 7, 14(a)*, 17(a,b), 32(a), 34* (treated during class), 37*, 38, 55*, 57
Homework: chapter 3: 8(a,b), 19 (due date November 22)
3 Rice, sections 4.1-4.3
Exercises: chapter 4: 2, 4, 6, 12, 31, 34*, 45*, 46*, 53*, 71(a)
Homework: chapter 4: 32, 45 (due November 22)
4 Rice, chapter 5 (skip the considerations involving moment generating functions), sections 6.1, 6.2, 6.3, extra on multivariate normal distributions (see slides)
Exercises: chapter 5: 1*, 3*, 9, 12*, 13, 15, 17*, 23, 26
Homework: chapter 5: 16, chapter 6: 9 (due December 6)
5 Rice, sections 8.3-8.5.2, 8.6
Exercises: chapter 8: 4*, 5*, 8, 17*, 19ab*, 39abc*, 42, 44abc, 49
Homework: chapter 8: 14abc, 19ab (due December 6)
6 Rice, sections 8.5.3 (you also read pages 202, 203), 9.1-9.3, 9.5
Exercises: chapter 8: 52*, chapter 9: 1, 2, 3*, 5, 7*, 9, 12*, 15, 18, 21, 22, read section 9.4 and pay special attention to the second half of page 302 (on p-value) as well
Homework: chapter 9: 11, 16 (due December 20)
7 Rice, (you read section 9.4), section 9.5 (very briefly), sections 14.1-14.4
Exercises: chapter 9: 15*, chapter 14: 1, 3*, 4, 8*, 9, 11, 20, (24), 25*, 31
Homework: chapter 14: 5, 16 (due December 20)



To the Korteweg-de Vries Institute for Mathematics or to the homepage of Peter Spreij.