The subject of this book is nite set statistics (FISST) ,recently developed theory that unies much of information fusion under a single probabilistic?in fact, Bayesian?paradigm. It does so by directly generalizing the ?statistics 101? formalism that most signal processing practitioners learn as undergraduates.Since its introduction in 1994, FISST has addressed an increasingly comprehensive expanse of information fusion, including multitarget-multisource integration (MSI), also known as level 1 fusion; expert systems theory; sensor management for level 1 fusion, including management of dispersed mobile sensors; group target detection, tracking, and classication; robust automatic target recognition;and scientic performance evaluation.