General Linear Models - Design of Experiments

General Linear Models - Design of Experiments

Explore an extensive 22-hour course on General Linear Models focusing on the Design of Experiments. Delve into various statistical concepts including ANOVA models, randomized complete block designs, balanced incomplete block designs, analysis of covariance, factorial designs, hierarchical designs, and split plot designs. Learn to develop models, estimate parameters, partition sum of squares, perform F-tests, analyze contrasts, and interpret results. Gain practical skills using R software for data analysis and visualization throughout the course. Master advanced statistical techniques essential for experimental design and analysis in research and industry applications.