Steven M. Kay
 A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. ,KEY TOPICS: , Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. ,MARKETS: , For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals -- radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.
Academic
Fundamentals of Statistical Processing, Volume I: Estimation Theory