Markov Chains: Models, Algorithms and Applications

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order disc...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ching, Wai-Ki (Autor), Ng, Michael K. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:International Series in Operations Research & Management Science, 83
Temas:
Probabilities.
Operations research.
Mathematical models.
Production management.
Computer science-Mathematics.
Mathematical statistics.
Probability Theory.
Operations Research and Decision Theory.
Mathematical Modeling and Industrial Mathematics.
Operations Management.
Probability and Statistics in Computer Science.
Mathematical Applications in Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Queueing Systems and the Web
  • Re-manufacturing Systems
  • Hidden Markov Model for Customers Classification
  • Markov Decision Process for Customer Lifetime Value
  • Higher-order Markov Chains
  • Multivariate Markov Chains
  • Hidden Markov Chains.

Ejemplares similares