Statistics 211 - Statistical Methods II
Monday and Wednesday, 9:30-10:50, Room: DBH 1423
Tuesday, 11:00-11:50, Room: SST 122
Statistics 210 (Statistical Methods I) or equivalent
This course will provide an introduction to the principles of generalized regression models, with an emphasis on categorical data models. Categorical data occurs extensively in both observational and experimental studies, as well as in industrial applications. The course will focus on both theory and application of methods for data analysis. Problems will be motivated from a scientific perspective and the course will emphasize proper model building/development techniques for addressing common scientific goals including prediction an association estimation/testing.
Agresti, A. (2015). Foundation of Linear and Generalized Linear Models, First Edition. Wiley.
McCullagh P. and Nelder, J. (1989). Generalized Linear Models, Second Edition. Chapman & Hall/CRC.
Hastie T, Tibshirani R, and Friedman J. (2017). Elements of Statistical Learning, Second Edition. Springer-Verlag.
Casella G. and Berger R. (2001). Statistical Inference, Second Edition. Duxbury Press.
Lindsey, J. (1997). Applying Generalized Linear Models. Springer-Verlag.
Kutner, M., Nachtsheim, C., Neter, J., and Li, W. (2005) Applied Linear Statistical Models. McGraw Hill Irwin.
There will be a total of 6-7 homework assignments. Assignments will typically be due 1 to 1.5 weeks from the day they are handed out. Homework will be collected at the start of lecture/discussion on the assigned due date. No late homework will be accepted. If homework is turned in after the time of collection a grade of zero will be given.
Tentatively scheduled for Wednesday, February 21st. The exam will be in-class (closed-book, closed-note), and will cover material through the February 14th lecture.
The final exam is scheduled for Wednesday, March 21st, 8:00am-10:00am. The final exam will be take-home and will consist of two portions. The first portion of the exam will consist of short answer questions similar to a comprehensive homework assignment. The second portion of the exam will be a complete statistical analysis and report pertaining to a particular scientific question. The final exam will be handed out on Wednesday, March 14th and due on Wednesday, March 21st by 10:00am. Exams received after 10:00am on the due date will receive a score of zero.
All students are expected to abide by the UCI academic honesty policy. Among other things, this means that copied homework solutions will receive no credit in the course. I encourage students to study and work together on homework. However, the work that is handed in should reflect only that student’s work. That is, obtaining help from other students in order to learn the METHODS of solution is allowed, but copying another student’s answer or a past course key is NOT. A first violation of the UCI academic honesty policy or the above stated rules will result in zero on the assignment in question. A second violation will result in a failing grade in the course and reporting to UCI administration.