Course Information
Advanced Statistical Methodology (STAT 526) - Fall 2008
http://www.stat.purdue.edu/~tlzhang/stat526/stat526.htm
Course Description
Statistics 526 is the second semester course of the sequence of STAT 525/526. The course will cover: contingency table and odds ratio, exponential families, logistic and loglinear regressions for count data, Gamma GLM, random effect and mixed effect models, regression trees, survival analysis, nonparametric regression, and etc.
Prerequisite
Stat 525 and 517 or 528. Working knowledge of basic statistical inference and modeling, such as the maximum likelihood estimate, the likelihood ratio test, and the standard linear models, exponential families.
Schedule
- TTh 12:00-1:15pm, REC 309
- Midterm: evening exam, TBA.
- Final: TBA.
Instructor
- Tonglin Zhang, Assistant professor of Statistics
- Email: tlzhang@stat.purdue.edu
- Office: 172 HAAS
- Phone: (765)496-2079, Fax: (765)494-0558
- Office Hour: 2:00-4:00pm Monday and 3:00-4:00pm Tuesday, or by appointment.
TA/Grader
- Yanhui Mi, email: ymi@stat.purdue.edu.
- All homework assignments will be graded, and all solutions will be provided by the instructor.
Textbooks
Reference books
- Venables, W. N. and Ripley, B. D. Modern Applied Statistics with S.
- Agresti, A. Categorical Data Analysis.
Software Required
- R is the required package. It is free and can be download here. CRC Press.
Web Page
All course information will be available on www.stat.purdue.edu/~tlzhang/stat526/stat526.htm.
Homework
Everybody must type the solutions.
Course Requirements and Grades
The final grade has the following
components:
- Homework (30%) will be posted on the course web page mostly. No late due is accepted and solutions will be available soon after due. The lowest score will be dropped.
- Midterms (30%). Time: two hours evening exam.
- Final (40%). In class on the Final Week.
Initially, it is
A: 90-100; B:75-90; C: 65-75; D: 50-65; F: below 50.
The criterion would be lower but not be higher.