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Introduction to Probability Models by Sheldon M. Ross (Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA) at Abbey's Bookshop,
Introduction to Probability Models
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Sheldon M. Ross (Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA)

Introduction to Probability Models

Sheldon M. Ross (Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA)

$197.95

Paperback

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English
Academic Press Inc
05 July 2023
Probability & statistics; Stochastics

*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.
By:  
Imprint:   Academic Press Inc
Country of Publication:   United States
Edition:   13th edition
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   1.380kg
ISBN:   9780443187612
ISBN 10:   0443187614
Pages:   870
Publication Date:  
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Active
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

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.

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