*Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner, 2024* A trusted market leader for four decades, Sheldon Ross's Introduction to Probability Models offers a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Through its hallmark exercises and real examples, this valuable course text Introduction to Probability Models provides the reader with a comprehensive course in the subject, from foundations to advanced topics. Winner of a 2024 McGuffey Longevity Award (College) (Texty) from the Textbook and Academic Authors AssociationRetains the useful organization that students and professors have relied on since 1972Includes new coverage on MartingalesOffers a single source appropriate for a range of courses from undergraduate to graduate level INDICE: 1. Introduction to Probability Theory2. Random Variables3. Conditional Probability and Conditional Expectation4. Markov Chains5. The Exponential Distribution and the Poisson Process6. Continuous-Time Markov Chains7. Renewal Theory and Its Applications8. Queueing Theory9. Reliability Theory10. Brownian Motion and Stationary Processes11. Simulation12. Coupling13. Martingales
- ISBN: 978-0-443-18761-2
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 870
- Fecha Publicación: 05/07/2023
- Nº Volúmenes: 1
- Idioma: Inglés