Introduction to Probability Models
13th Edition
Published on 30. June 2023
870 pages
978-0-443-18760-5 (ISBN)
Description
Approx.852 pages
- Winner of a 2024 McGuffey Longevity Award (College) (Texty) from the Textbook and Academic Authors Association
- Retains the useful organization that students and professors have relied on since 1972
- Includes new coverage on Martingales
- Offers a single source appropriate for a range of courses from undergraduate to graduate level
More details
Other editions
Additional editions
Sheldon M. Ross
Introduction to Probability Models
Book
07/2023
13th Edition
Academic Press
€112.50
Shipment within 15-20 days
Person
Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.
Content
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
