The Sixth Edition of this very successful textbook, Introduction to Probability Models<$>, introduces elementary probability theory and stochastic processes. This book is particularly well-suited for those who want to see how probability theory can be applied to the study of phenomena in fields such as engineering, management science, the physical and social sciences, and operations research. The Sixth Edition includes additional exercises in every chapter and a new appendix with the answers to approximately 100 of the included exercises from throughout the text. Markov Chain Monte Carlo methods are presented in an entirely new section, along with new coverage of the Markov Chain cover times. New material will also be featured on K-records values and Ignatov's theorem. This book is a worthwhile revision of Ross's classic text.
Presents new material in every chapter
Contains examples relating to:
Random walks on circles
The matching rounds problem
The best prize problem
K-records values
Ignatovs theorem
Includes approximately 570 exercises
Provides a built-in student solution manual in the appendix for 100 of the exercises from throughout the book
An instructors manual, containing solutions to all exercises, is available free of charge for instructors who adopt the book for their classes
Presents new material in every chapter
Contains examples relating to:
Random walks on circles
The matching rounds problem
The best prize problem
K-records values
Ignatovs theorem
Includes approximately 570 exercises
Provides a built-in student solution manual in the appendix for 100 of the exercises from throughout the book
An instructors manual, containing solutions to all exercises, is available free of charge for instructors who adopt the book for their classes
