Introduction to Probability Models (Google eBook)Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. Ancillary list:
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Review: Introduction to Probability Models
User Review  Jette Stuart  GoodreadsSheldon 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. Read full review
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User Review  Mohamed AlEmam  Goodreadscollege related Read full review
Contents
Chapter 3 Conditional Probability and Conditional Expectation  97 
Chapter 4 Markov Chains  191 
Chapter 5 The Exponential Distribution and the Poisson Process  291 
Chapter 6 ContinuousTime Markov Chains  371 
Chapter 7 Renewal Theory and Its Applications  421 
Chapter 8 Queueing Theory  497 
Chapter 9 Reliability Theory  579 
Chapter 10 Brownian Motion and Stationary Processes  631 
667  
Solutions to Starred Exercises  735 
775  