Practical Considerations

Abstract

3.4 Concluding remarks and references Problems 4 Estimation Theory 4.1 Basic concepts 4.2 Properties of estimators 4.3 Method of moments 4.4 Least-squares estimation 4.4.1 Linear least-squares method 4.4.2 Nonlinear and generalized least squares * 4.5 Maximum likelihood method 4.6 Bayesian estimation * 4.6.1 Minimum mean-square error estimator 4.6.2 Wiener filtering 4.6.3 Maximum a posteriori (MAP) estimator 4.7 Concluding remarks and references Problems