Lectures: 11-12 MWF; 308 LeConte
Labs: Monday and Tuesday 2-4; 332 Evans (only one session should be attended)
Instructor's Office Hours: 1:30-3:30 Wed.; May 16, 10-12, 425 Evans
Teaching Assistants and Office Hours:
Ru-Fang Yeh ( yeh@stat.berkeley.edu ): Thurs 2-4 in 432 Evans
May 1, Th, 2-4, 432 Evans
May 5, Mon, 2-4, 432 Evans
May 8, Th, 2-4, 432 Evans
May 15, Th, 2-4, 432 Evans
Zhiyu Ge ( zhiyu@stat.berkeley.edu ): Friday 2-4 in 432 Evans
Tu 2-3:30, 432 Evans
Fri 2-4:30, 432 Evans
May 14, 2:00-4:00, 432 Evans
Grader: Kin-Fun Lee ( kinfunny@uclink3.berkeley.edu )
[ Syllabus ] [ Reading Assignments ] [ Homework Assignments ] [ Exams ] [ Lab Assignments ]
This course is a graduate level introduction and survey of the theory and applications of statistics, particularly aimed at graduate students from other departments. Topics: An introduction to the theory of survey sampling. Estimation theory, with particular emphasis on maximum likelihood estimation and exponential families and on the use of the bootstrap. Testing theory: examination of goodness of fit via tests and informal procedures. Graphical data analysis. Two sample problems and experimental design. Linear models. Contingency tables. Bayesian approaches. Labs: Computing is an integral part of statistics and computing labs are an integral part of this course. Lab sections will focus on applications, paralleling the lecture material. We will use the statistical language S-Plus in which no previous experience is assumed. This class carries four units.
Prerequisites are Statistics 200A or an equivalent course in probability theory, advanced calculus, and linear algebra. Although computing will play a significant role in the course, no previous background is assumed.
Required: J. Rice (1995). Mathematical Statistics and Data Analysis. (2nd edition). Duxbury.
Recommended: P. Spector (1994). An Introduction to S and S-Plus. Duxbury
Grades will be based on homework, labs, a midterm, a final exam, and a final project.
Reserve Reading (Mathematics and Astronomy Library)
Peter Bickel and Kjell Doksum (1977). Mathematical statistics : basic ideas and selected topics. Holder Day
George Cassella and Roger Berger (1990). Statistical inference. Brooks/Cole
John Chambers (1983). Graphical methods for data analysis. Wadsworth
Bradley Efron and Robert Tibshirani (1993). An introduction to the bootstrap. Chapman & Hall
Phil Spector (1994). An introduction to S and S-plus. Duxbury
Chapter 7: 7.1-7.6. Also 4.6
Chapter 8: Skim 8.1. Read 8.2-8.6. Skim 8.7. Read 8.8
Chapter 9: Read 9.1-9.6, 9.8-9.9, 9.11. Skim 9.7 and 9.10.
Chapter 10: Read 10.1, 10.2.1, 10.4, 10.5, 10.6, 10.7. Skim 10.2.2,
10.2.3, 10.3
Chapter 13: Read 13.1-13.4. Skim 13.5-13.6.
Chapter 11: Read entire chapter
Chapter 14: Read 14.1-14.3
Homework Assignments (Late homework will not be accepted)
Exams. For practice, here are the 1996 Midterm and 1996 Final The midterm will be on Monday, March 17. It will cover Chapters 7 and 8. You may bring one sheet of notes.
Lab 1: Welcome to Fort Evans
Lab 2: Demographics of Fort Evans
Lab 3: Further Adventures in Fort Evans . Due week of March 3
Lab 4: A Random Walk Model for Chromatin Due week of April 7
Lab 5: Babies and Smoke Due week of April 14
Lab 6: Babies and Smoke II Due week of April 28
StatLib contains various information about statistics, including software and data sets.