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STAR 532 - Mixed Models for Researchers

  • 2 credits
Topics in linear models that have both fixed and random predictors: split-plot and related designs, mixed-effects factorials, repeated measures, random coefficients, and spatial models for designed experiments. Introduction to generalized linear and nonlinear mixed models.
Does not apply to Master of Applied Statistics program.

Prerequisite

STAR 512/STAT 512 (Design and Data Analysis for Researchers II) or STAR 514 (Experimental Design/Analysis for Researchers) or STAT 512 (Design and Data Analysis for Researchers II)

Textbooks and Materials

Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.