Fundamentals of Statistical Processing, Volume 1: Estimation Theory (Paperback )  | Released: 2009

This book is written on parameter estimation range from highly theoretical to more practical applied statistics. This book strikes a balance between these 2 extremes. Audience is community involved in design and implementation of signal processing algoriTable of Contents: 1. Introduction. 2. Minimum Variance Unbiased Estimation. 3. Cramer-Rao Lower Bound. 4. Linear Models. 5. General Minimum Variance Unbiased Estimation. 6. Best Linear Unbiased Estimators. 7. Maximum Likelihood Estimation. 8. Least