Parameter Estimation in Engineering and Science

Table of Contents

1. Table of Contents
2. Chapter 1: Introduction To and Survey of Parameter Estimation
3. Chapter 2: Probability
4. Chapter 3: Introduction To Statistics
5. Chapter 4: Parameter Estimation Methods
6. Chapter 5: Introduction To Linear Estimation
7. Chapter 6: Matrix Analysis For Linear Parameter Estimation
8. Chapter 7: Minimization of Sum of Squares Functions For Models Nonlinear In Parameters
9. Chapter 8: Design of Optimal Experiments
10. Appendices
11. Index

This book discusses the field of parameter estimation where parameters within a mathematical model are estimated through indirect measurements.  As with the inverse heat conduction problem, the estimation of the parameters is hindered due to the presence of measurement errors. This book discusses numerous techniques, including the method of Least Squares, Maximum Likelihood and MAP estimation using prior information.