Contents

1. Introduction 2. Rudiments of Linear Algebra and Multivariate Normal Theory 3. Sufficiency and MVUB Estimators 4. Neyman-Pearson Detectors 5. Bayes Detectors 6. Maximum Likelihood Estimators 7. Bayes Estimators 8. Minimum Mean-Squared Error Estimators 9. Least Squares 10. Linear Prediction 11. Modal Analysis