Entropy Optimization Principles With Applications - Rilegato

Kapur, J. N.; Kesavan, H. K.

Rilegato

ISBN 10: 0123976707 ISBN 13: 9780123976703

Casa editrice: Academic Pr, 1992

Riassunto

A senior-level textbook providing a unified conceptual framework for the study of probabilistic systems with its elucidation of three key concepts: Shannon's Information Theory, Jayne's Maximum Entropy Principle, and Kullback's Minimum Cross-Entropy Principle. A wide array of real-world problems and applications are included that establish the usefulness of these methods for any discipline looking at probabilistic systems and information, such as engineering, statistics, economics, and operations research. Annotation copyright Book News, Inc. Portland, Or.

Dettagli dell?edizione

• Editore: Academic Pr
• Data di pubblicazione: 1992
• Lingua: Inglese
• ISBN 10: 0123976707
• ISBN 13: 9780123976703
• Rilegatura: Copertina rigida
• Numero di pagine: 384
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile