H1 Linear Statistical Models Summary Notes for Each Chapter

Description

Linear Statistical Models Summary Notes for Each Chapter includes: - linear algebra review - random vectors - full rank model & inference - comments & interpretation of diagnostics plots - less than full rank model & inference - examples on reading values from R output (treatment contrast, F-values, Sum of Squares values) - confidence & prediction interval derivations - experimental design - tabular comparisons between models - important formulas - extra example questions on selected topics Typed purely in Latex, neat & with proper spacing for your own notes!