1. Preliminaries. 1.1. Probability spaces. 1.2. Distribution functions. 1.3. The space of distance of distribution functions. 1.4. Copulas. 1.5. Triangular norms. 1.6. Triangle functions. 1.7. Multiplications. 1.8. Probabilistic metric spaces. 1.9. L[symbol] and Orlicz spaces. 1…
PN Spaces; Probabilistics norms and convergence; D-boundedness and D-compactness; linear operators.
This book provides a comprehensive foundation in Probabilistic Normed (PN) Spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments and the open problems of this highly relevant topic, introduced by A N …
This book provides a comprehensive foundation in Probabilistic Normed (PN) spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments and the open problems of this highly relevant topic, introduced by A.N.…
This book provides a comprehensive foundation in Probabilistic Normed (PN) spaces for anyone conducting research in this field of mathematics and statistics. It is the first to fully discuss the developments and the open problems of this highly relevant topic, introduced by A.N.…