What do you think?
Rate this book
Introduction to Probability Models
This trusted book introduces the reader to elementary probability modeling 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.
Paperback
First published December 1, 1972
46 people are currently reading
386 people want to read
About the author
Sheldon M. Ross
70Ìýbooks32ÌýfollowersSheldon M. Ross is the Epstein Chair Professor at the Department of Industrial and Systems Engineering, University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968 and was formerly a Professor at the University of California, Berkeley, from 1976 until 2004. He has published more than 100 articles and a variety of textbooks in the areas of statistics and applied probability, including Topics in Finite and Discrete Mathematics (2000), Introduction to Probability and Statistics for Engineers and Scientists, 4th edition (2009), A First Course in Probability, 8th edition (2009), and Introduction to Probability Models, 10th edition (2009), among others. Dr Ross serves as the editor for Probability in the Engineering and Informational Sciences.
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 10 of 10 reviews
August 19, 2018
I love this book with every cell in my body. Have read it so many times and every time learned something new. You cannot work in the industry without reading this.
January 10, 2024
I have the same quibbles about this book as I have about the Probability Theory book of Sheldon Ross. The chapters are just too large, there have to be some more smaller easier exercises sprinkled in between them, especially considering its just an introduction text to the subject. It's just extremely difficult (at least for me) to grasp the concepts properly if I cannot test myself often enough.
Granted, I didn't finish the book, I finished 6/11 chapters, I may come back to the book if I need to. Its the only book I know that discusses various probability models, though one might be better of just studying books specifically talking about a certain probability model, like Queuing theory, or Markov Chains.
Granted, I didn't finish the book, I finished 6/11 chapters, I may come back to the book if I need to. Its the only book I know that discusses various probability models, though one might be better of just studying books specifically talking about a certain probability model, like Queuing theory, or Markov Chains.
July 31, 2018
One of the worst textbook I've used. He doesn't define terms properly, merge theorems and propositions with examples, and put far too much emphasis on the examples. If you want to learn Markov chain theory, use wikipedia instead.
January 5, 2022
An excellent systematic introduction to elementary probability theory and stochastic processes.
Helps a lot in how probability theory can be applied in management science, social sciences, and operations research.
Helps a lot in how probability theory can be applied in management science, social sciences, and operations research.
April 20, 2021
Not exegetical like that of Jay L. Davore. Few examples added with the lack of immaterial exemplars have made it less accessible to neophytes to probability.
April 17, 2008
a very basic and applied book on probability models. if it were me, i'd read drake's book on probability to get the basics and then go straight to a more advanced text on whatever you're interested in (markov chains or probability theory or stochastic processes or queuing theory or whatever) and skip this thing.
April 5, 2013
I'll be honest this course was the stuff of nightmares for many of us in Stochastic Processes. This book along with the solutions manual made all the difference. Perfect for those who learn by example.
April 28, 2013
Sheldon Ross is a genius of our time. This is an excellent book for introduction to stochastic processes, a subject that I am sure most find challenging.
October 22, 2016
Excellent treatment of all mathematical topics. One of my all time favorites.
Read
March 31, 2013college related
Displaying 1 - 10 of 10 reviews
Can't find what you're looking for?
Get help and learn more about the design.