Introduction to Probability Models
eBook - PDF

Introduction to Probability Models

  1. 568 pages
  2. English
  3. PDF
  4. Only available on web
eBook - PDF

Introduction to Probability Models

Book details
Table of contents
Citations

About This Book

Introduction to Probability Models, Fifth Edition focuses on different probability models of natural phenomena. This edition includes additional material in Chapters 5 and 10, such as examples relating to analyzing algorithms, minimizing highway encounters, collecting coupons, and tracking the AIDS virus. The arbitrage theorem and its relationship to the duality theorem of linear program are also covered, as well as how the arbitrage theorem leads to the Black-Scholes option pricing formula. Other topics include the Bernoulli random variable, Chapman-Kolmogorov equations, and properties of the exponential distribution. The continuous-time Markov chains, single-server exponential queueing system, variations on Brownian motion; and variance reduction by conditioning are also elaborated. This book is a good reference for students and researchers conducting work on probability models.

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Yes, you can access Introduction to Probability Models by Sheldon M. Ross in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
ISBN
9781483276588
Edition
5
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Introduction to Probability Models
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Chapter 1. Introduction to Probability Theory
  7. Chapter 2. Random Variables
  8. Chapter 3. Conditional Probability and Conditional Expectation
  9. Chapter 4. Markov Chains
  10. Chapter 5. The Exponential Distribution and the Poisson Process
  11. Chapter 6. Continuous-Time Markov Chains
  12. Chapter 7. Renewal Theory and Its Applications
  13. Chapter 8. Queueing Theory
  14. Chapter 9. Reliability Theory
  15. Chapter 10. Brownian Motion and Stationary Processes
  16. Chapter 11. Simulation
  17. Index