Simulation of Stochastic Processes with Given Accuracy and Reliability

  • Denne udgave
  • E-bog, ePub
  • Engelsk
  • 346 sider
E-bogen er DRM-beskyttet og kræver et særligt læseprogram

Beskrivelse

Simulation has now become an integral part of research and development across many fields of study. Despite the large amounts of literature in the field of simulation and modeling, one recurring problem is the issue of accuracy and confidence level of constructed models. By outlining the new approaches and modern methods of simulation of stochastic processes, this book provides methods and tools in measuring accuracy and reliability in functional spaces. The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes and Cox processes. Methods of simulation of stochastic processes and fields with given accuracy and reliability in some Banach spaces are also considered. Provides an analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes Contains information on the study of the issue of accuracy and confidence level of constructed models not found in other books on the topic Provides methods and tools in measuring accuracy and reliability in functional spaces

Læs hele beskrivelsen
Detaljer
  • SprogEngelsk
  • Sidetal346
  • Udgivelsesdato22-11-2016
  • ISBN139780081020852
  • Forlag Elsevier Science
  • FormatePub

Findes i disse kategorier...

Se andre, der handler om...

Velkommen til Saxo – din danske boghandel

Hos os kan du handle som gæst, Saxo-bruger eller Saxo-medlem – du bestemmer selv. Skulle du få brug for hjælp, sidder vores kundeservice-team klar ved både telefonerne og tasterne.

Om medlemspriser hos Saxo

For at købe bøger til medlemspris skal du være medlem af Saxo Premium, Saxo Shopping eller Saxo Ung. De første 7 dage er gratis for nye medlemmer. Medlemskabet fornyes automatisk og kan altid opsiges. Læs mere om fordelene ved vores forskellige medlemskaber her.

Machine Name: SAXO082