This book provides a rigorous introduction to the basic aspects of the theory of linear estimation and hypothesis testing. The necessary background in matrices, multivariate normal distribution and distributions of quadratic forms is developed along the way. It is primarily aimed at advanced undergraduate and first year masters students taking courses in linear algebra, linear models, multivariate analysis and design of experiments. It should also be of use to ...
