ST518 - Statistical Methods II (under development)
- Prerequisites: ST 517
- Term & Frequency: Online only, check availability
- Student Audience: Primarily for Masters students in Statistics
- Credit: 3 credits
- Recent Texts: An Introduction to Statistical Methods and Data Analysis, by Ott and Longnecker
- Recent Instructors: Jon Stallings is developing the course
- Background and Goals: ST518 is an applied course that introduces statistical methods based on linear models for continuous responses as are commonly used
in designed experiments. It also introduces linear models with multiple sources of error as handled by SAS proc mixed
such as longitudinal data collected over time and data with spatial correlation. Part of the course covers categorical data analysis including regression with binary
response Y (logistic regression). ST 518 may be used as a prerequisite for most advanced applied courses in statistics.
- Content: Simple and multiple regression. One- and two-factor ANOVA. Blocked and split-plot designs. Data with multiple sources of error such as longitudinal data collected over time. Categorical data analysis including regression with binary response Y (logistic regression).
- Alternatives: ST 508, ST 512, ST 514, ST 516
- Subsequent Courses: Many applied courses.
S1 2017 Sections:
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