Introduction to Probability Models
11th Edition
Published on 5. March 2014
Book
Hardback
784 pages
978-0-12-407948-9 (ISBN)
Description
Introduction to Probability Models, Eleventh Edition is the latest version of Sheldon Ross's classic bestseller, used extensively by professionals and as the primary text for a first undergraduate course in applied probability. The book introduces the reader to elementary probability theory and stochastic processes, and shows how probability theory can be applied 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 eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. The book contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams. It also presents new applications of probability models in biology and new material on Point Processes, including the Hawkes process. There is a list of commonly used notations and equations, along with an instructor's solutions manual.
This text will be a helpful resource for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.
The hallmark features of this text have been retained in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. The book contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams. It also presents new applications of probability models in biology and new material on Point Processes, including the Hawkes process. There is a list of commonly used notations and equations, along with an instructor's solutions manual.
This text will be a helpful resource for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.
Reviews / Votes
"The hallmark features of this renowned text remain in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics...new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data." --Zentralblatt MATH 1284-1"...the newest edition updated with new examples and exercises, actuarial material, Hawkes and other point processes, Brownian motion, and expanded coverage of Markov chains. Although formally rigorous, the emphasis is on helping students to develop an intuitive sense for probabilistic thinking."--ProtoView.com, April 2014
Praise from Reviewers for the 10th edition:"I think Ross has done an admirable job of covering the breadth of applied probability. Ross writes fantastic problems which really force the students to think divergently...The examples, like the exercises are great." --Matt Carlton, California Polytechnic Institute"This is a fascinating introduction to applications from a variety of disciplines. Any curious student will love this book." --Jean LeMaire, University of Pennsylvania"This book may be a model in the organization of the education process. I would definitely rate this text to be the best probability models book at its level of difficulty...far more sophisticated and deliberate than its competitors." --Kris Ostaszewski, University of Illinois
More details
Edition
11th edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
1340 gr
ISBN-13
978-0-12-407948-9 (9780124079489)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Sheldon M. Ross
Introduction to Probability Models
Book
05/2019
12th Edition
Academic Press
€103.98
Article exhausted; check for reprint
Additional editions
Sheldon M. Ross
Introduction to Probability Models
E-Book
01/2014
11th Edition
Academic Press
€71.95
Available for download
Previous edition
Sheldon M. Ross
Introduction to Probability Models
Book
12/2009
10th Edition
Academic Press
€75.51
Article exhausted; check for reprint
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. Simulation