Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Juni 2012
Genre:	Schulbücher
	Coding theory & cryptology / Information theory / machine learning / pattern recognition / Signal Processing / TECHNOLOGY & ENGINEERING / Signals & Signal Processing
ISBN:	9781107004740
EAN-Code:	9781107004740
Verlag:	Cambridge Academic
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 254 mm / B 178 mm / D 12 mm
Gewicht:	510 gr
Illustration:	8 b/w illus. 3 tables, Zeichnungen, nicht spezifiziert, Tabellen, schwarz-weiss, Worked examples or Exercises
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book presents a comprehensive and consistent theory of estimation. The framework described leads naturally to a generalized maximum capacity estimator. This approach allows the optimal estimation of real-valued parameters, their number and intervals, as well as providing common ground for explaining the power of these estimators. Beginning with a review of coding and the key properties of information, the author goes on to discuss the techniques of estimation and develops the generalized maximum capacity estimator, based on a new form of Shannon's mutual information and channel capacity. Applications of this powerful technique in hypothesis testing and denoising are described in detail. Offering an original and thought-provoking perspective on estimation theory, Jorma Rissanen's book is of interest to graduate students and researchers in the fields of information theory, probability and statistics, econometrics and finance.