General Linear Models II - Regression

Catalog description

The foundations of theory and practice of Analysis of Variance, experimental design, linear estimation theory, decision making using confidence intervals, single and multiple sample analysis, fixed and random effects weighting, MANOVA designs, design diagnostics, etc. Theory will be approached from the frequentist perspective and use of the computer to analyze data.