STAT 360 - Linear Models

Theory of linear models, least squares and maximum likelihood estimation, fixed, random and mixed models, variance component estimation, introduction to generalized linear models, bootstrapping. Prerequisite: STAT 261 and knowledge of matrix algebra or Instructor permission.

Credits: 3