Course Information
Advanced Statistical Methodology (STAT 526) - Spring 2019
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
- MWF 8:30am-9:20am, REC 114
- Midterm: 8:00pm-10:00pm, Wednesday, 02/27/2019 at BRNG 2290.
- Final: TBA.
Instructor
- Tonglin Zhang, Associate Professor of Statistics
- Email: tlzhang@purdue.edu
- Office: 172 HAAS
- Phone: (765)496-2097, Fax: (765)494-0558
- Office Hours: 1:00pm-3:00pm on Tuesday.
TA/Grader
- Muye Liu: liu2546@purdue.edu.
- All homework assignments will be graded, and all solutions will be provided by the instructor.
Textbooks
Reference books
- Agresti, A. Categorical Data Analysis.
Software Required
- R is the required package. It is free and can be download here.
Web Page
All course information will be available on www.stat.purdue.edu/~tlzhang/stat526/stat526.htm.
Homework
Everybody must type the solutions.
Exams
Open-book and open notes.
Makeup: must be pre-approved at least one week before the official exam time. Students cannot decide by themselves. The instructor can deny a makeup exam if it is not pre-approved. At least 20% deduction if a student does not follow the rule.
No discussion of any request of makeup exams in the lecture room. Any request of makeup exams must be discussed in my office.
Emergency events will be considered. Minor issues (e.g. drive license test, shopping, pickup friends at airport, and etc) will not be considered.
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 (35%). In class on the Final Week.
- Evaluation (5%). Please forward your receipt.
Initially, it is
A(+/-): 90-100; B(+/-):80-90; C(+/-): 70-80; D(+/-): 60-70; F: below 60.