Introduction to Probability Models, ISE

Introduction to Probability Models, ISE

3.96 (148 ratings by Goodreads)
  • Paperback
By (author) 

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Description

"Introduction to Probabilty Models, 8th Edition", continues to introduce and inspire readers to the art of applying probability theory to phenomena in fields 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. It is a classic text by best-selling author. It continues the tradition of expository excellence. It contains compulsory material for exam 3 of the Society of Actuaries.
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Product details

  • Paperback | 754 pages
  • 152 x 229mm
  • Academic Press Inc
  • San Diego, United States
  • Revised
  • 8th Revised edition
  • index
  • 0125980612
  • 9780125980616

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
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About Sheldon M. Ross

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. 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, and a recipient of the Humboldt US Senior Scientist Award.
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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
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Rating details

148 ratings
3.96 out of 5 stars
5 35% (52)
4 38% (56)
3 20% (30)
2 2% (3)
1 5% (7)
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