Applied Statistics at an Advanced Level (4)
Some dates: April 28 - Take home part of final handed out in lab, May 9 - In class part of final (50 minutes).
2006 Takehome part of the final
Take home part is due at the in class final.
Course homepage: www.stat.berkeley.edu/~brill/Stat215b
Lab homepage: http://socrates.berkeley.edu/~cattaneo/spring2006-stat215b/index.htm Click here
Instructor: David R. Brillinger: (www.stat.berkeley.edu/~brill)
Office hours: Wed 3:00-5:30pm in 417 Evans
GSI: Matias Cattaneo
Office hours: Wed-Thu 0830-100 in 387 Evans
Course Format: Three hours of lecture and two hours of laboratory per week.
Prerequisites: Linear algebra, fourth year statistics, Statistics 215a, or consent of Instructor.
Description: The techniques of applied statistics. Data types and structures. Model formulation, fitting and validation. The principal models. Planning and design. Difficulties that arise. Usage of statistical computer packages. Presentation of conclusions.
Class hours: Tu-Th 2:00 to 3:30 in 334 Evans
Lab hours: Fr 12:00 to 2:00 334 Evans
Text for Class: C. R. Rao. Linear Statistical Inference and Its Applications, Second Edition. Wiley.
Text for Lab: W.N. Venables and B.D. Ripley. Modern Applied Statistics with S-Plus, Most recent Edition. Springer.
The students will be expected to analyze data sets using R or an equivalent and to prepare formal reports in Latex or Word or somesuch.
Some other books
Writing the reports
Course grade: based on lab reports, in-class midterm (April 4) and an in-class final (May 9). Both in-class exams are closed book.