Information and Divergence Measures - Couverture rigide

Couverture rigide

ISBN 10 : 3036583866 ISBN 13 : 9783036583860

Editeur : Mdpi AG, 2023

Synopsis

The concept of distance is important for establishing the degree of similarity and/or closeness between functions, populations, or distributions. As a result, distances are related to inferential statistics, including problems related to both estimation and hypothesis testing, as well as modelling with applications in regression analysis, multivariate analysis, actuarial science, portfolio optimization, survival analysis, reliability theory, and many other areas. Thus, entropy and divergence measures are always a central concern for scientists, researchers, medical experts, engineers, industrial managers, computer experts, data analysts, and other professionals.

This reprint focuses on recent developments in information and divergence measures and presents new theoretical issues as well as solutions to important practical problems and case studies illustrating the great applicability of these innovative techniques and methods. The contributions in this reprint highlight the diversity of topics in this scientific field.

Détails de l'édition

• Éditeur: Mdpi AG
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 3036583866
• ISBN 13: 9783036583860
• Reliure: Relié
• Nombre de pages: 282
• Éditeur: Karagrigoriou Alex, Makrides Andreas
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne