BIOST 3025 - LINEAR MODELS
Minimum Credits: 3
Maximum Credits: 3
This course is providing an introduction to the theory of linear models. In this class, we will discuss various topics including least squares estimation, the Gauss Markov model, the Aitken model (Generalized linear model), BLUEs, distributional theory such as multivariate normal and noncentral distributions, inference in linear models (linear hypothesis testing, likelihood ratio test, confidence intervals, multiple comparisons), Cochran’s Theorem, sequential SS, and model checking of underfitting and overfitting. This is a theoretical course and requires knowledge of statistical theory and linear algebra.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PREQ: (BIOST 2044 or 3012); PLAN: Biostatistics (BIOST-PHD)
Click here for class schedule information.
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