Spring 2019 - STAT 475 D100
Applied Discrete Data Analysis (3)
Class Number: 3968
Delivery Method: In Person
Course Times + Location:
Tu 10:30 AM – 11:20 AM
SSCC 9000, Burnaby
Th 9:30 AM – 11:20 AM
WMC 3260, Burnaby
Exam Times + Location:
Apr 14, 2019
12:00 PM – 3:00 PM
WMC 3520, Burnaby
Prerequisites:STAT 302 or STAT 305 or STAT 350 or BUEC 333 or equivalent.
Introduction to standard methodology for analyzing categorical data including chi-squared tests for two- and multi-way contingency tables, logistic regression, and loglinear (Poisson) regression. Students with credit for the former STAT 402 or 602 may not take this course for further credit. Quantitative.
This course introduces students to the most important methods for analyzing categorical data. The focus of the course is twofold: classical methods in categorical data analysis, such as chi-squared tests, and logistic and loglinear (Poisson) regression techniques.
- Introduction and review: likelihood methods and R
- Analysis with binary variables
- Analysis with multicategory variables
- Analysis with count response
- Model selection and evaluation
- Further topics
- Assignments 10%
- Midterms 40%
- Final Exam 50%
Above grading is subject to change.
Analysis of Categorical Data with R., by: Christopher R. Bilder and Thomas M. Loughin. Publisher: CRC Press
Department Undergraduate Notes:
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