Introduction to Probability Models, ISE
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Main description:Introduction to Probabilty Models, 8th Edition, continues to introduce and inspire readers to the art of applying probability theory to phenomena in feilds such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. Now revised and updated, this best-selling book retains its hallmark intuitive, lively writing style, captivating introduction to applications from diverse disciplines, and plentiful exercises and worked out examples.- Classic text by best-selling author- Continues the tradition of expository e...
Main description:
Introduction to Probabilty Models, 8th Edition, continues to introduce and inspire readers to the art of applying probability theory to phenomena in feilds such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. Now revised and updated, this best-selling book retains its hallmark intuitive, lively writing style, captivating introduction to applications from diverse disciplines, and plentiful exercises and worked out examples.
- Classic text by best-selling author
- Continues the tradition of expository excellence
- Contains compulsory material for exam 3 of the Society of Actuaries
Review quote:
"The strength of the book is that it overviews quite a number of disciplines. it is perfect for actuaries...This is a fascinating introduction to applications from a variety of disciplines. Any curious student will love this book." - Jean Lemaire, university of Pennsylvania, Wharton School
"The examples, like the excersises are great. Ross mixes elementary examples to illustrate concept and formula basics with advanced examples pulled from every imaginable discipline." - Matt Carlton, California Polytechnic State University
Table of contents:
Preface: Introduction to Probability Theory; Random Variables; Conditional Probability and Conditional Expectation; Markov Chains; the Exponential Distribution and the Poisson Process; Continuous-Time Markov Chains; Renewel Theory and it's Applications; Queueing Theory; Reliability Theory; Brownian Motion and Stationary Processes; Simulation;Appendix: Solutions to Starred Exercises; Index
Introduction to Probabilty Models, 8th Edition, continues to introduce and inspire readers to the art of applying probability theory to phenomena in feilds such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. Now revised and updated, this best-selling book retains its hallmark intuitive, lively writing style, captivating introduction to applications from diverse disciplines, and plentiful exercises and worked out examples.
- Classic text by best-selling author
- Continues the tradition of expository excellence
- Contains compulsory material for exam 3 of the Society of Actuaries
Review quote:
"The strength of the book is that it overviews quite a number of disciplines. it is perfect for actuaries...This is a fascinating introduction to applications from a variety of disciplines. Any curious student will love this book." - Jean Lemaire, university of Pennsylvania, Wharton School
"The examples, like the excersises are great. Ross mixes elementary examples to illustrate concept and formula basics with advanced examples pulled from every imaginable discipline." - Matt Carlton, California Polytechnic State University
Table of contents:
Preface: Introduction to Probability Theory; Random Variables; Conditional Probability and Conditional Expectation; Markov Chains; the Exponential Distribution and the Poisson Process; Continuous-Time Markov Chains; Renewel Theory and it's Applications; Queueing Theory; Reliability Theory; Brownian Motion and Stationary Processes; Simulation;Appendix: Solutions to Starred Exercises; Index