Sheldon M. Ross

Introduction to Probability Models (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 870
• Erscheinungstermin: 30. Juni 2023
• Englisch
• ISBN-13: 9780443187605
• Artikelnr.: 68354205

Autorenporträt

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.

Inhaltsangabe

1. Introduction to Probability Theory
2. Random Variables
3. Conditional Probability and Conditional Expectation
4. Markov Chains
5. The Exponential Distribution and the Poisson Process
6. Continuous-Time Markov Chains
7. Renewal Theory and Its Applications
8. Queueing Theory
9. Reliability Theory
10. Brownian Motion and Stationary Processes
11. Simulation
12. Coupling
13. Martingales