Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling and stochastic processes and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences and operations research. The hallmark features of this text have been retained in this edition, including a superior writing style and excellent exercises and examples covering the wide breadth of coverage of probability topics. In addition, many real-world applications in engineering, science, business and economics are included. Retains the valuable organization and trusted coverage that students and professors have relied on since 1972Includes new coverage on Coupling methods, Martingales, continuous time Markov chains, and a new derivation of Poisson ProcessOffers updated examples and exercises throughout, along with required material for Exam 3 of the Society of Actuaries 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. SimulationSolutions to Starred Exercises
- ISBN: 978-0-12-814346-9
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 700
- Fecha Publicación: 01/03/2019
- Nº Volúmenes: 1
- Idioma: Inglés