Linear Models

This 1971 classic on linear models is once again available--as a Wiley Classics Library Edition. It features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.Content:
Chapter 1 Generalized Inverse Matrices (pages 1–30):
Chapter 2 Distributions and Quadratic Forms (pages 31–74):
Chapter 3 Regression, or The Full Rank Model (pages 75–134):
Chapter 4 Introducing Linear Models: Regression on Dummy Variables (pages 135–163):
Chapter 5 Models Not of Full Rank (pages 164–225):
Chapter 6 Two Elementary Models (pages 226–260):
Chapter 7 The 2?Way Crossed Classification (pages 261–331):
Chapter 8 Some Other Analyses (pages 332–375):
Chapter 9 Introduction to Variance Components (pages 376–420):
Chapter 10 Methods of Estimating Variance Components from Unbalanced Data (pages 421–472):
Chapter 11 Variance Component Estimation from Unbalanced Data: Formulae (pages 473–514):