Linear Statistical Models
Emphasizes the geometry of vector spaces (the coordinate free approach) due to the fact that the author has found the intuition it provides is vital to understanding the theory. Methods of study of random vectors, multiple regression techniques, simultaneous confidence intervals and analysis of frequency data are among the subjects discussed. Includes examples of applications using SAS and S-Plus packages.