Introduction to Probability Models

Introduction to Probability Models, Eleventh Edition is the latest version of Sheldon Ross's classic bestseller, used extensively by professionals and as the primary text for a first undergraduate course in applied probability. The book introduces the reader to elementary probability theory and stochastic processes, and shows how probability theory can be applied fields such as engineering, computer science, management science, the physical and social sciences, and operations research.

The hallmark features of this text have been retained in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. The book contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams. It also presents new applications of probability models in biology and new material on Point Processes, including the Hawkes process. There is a list of commonly used notations and equations, along with an instructor's solutions manual.

This text will be a helpful resource for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.

  • Updated data, and a list of commonly used notations and equations, instructor's solutions manual
  • Offers new applications of probability models in biology and new material on Point Processes, including the Hawkes process
  • Introduces elementary probability theory and stochastic processes, and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences, and operations research
  • Covers finite capacity queues, insurance risk models, and Markov chains
  • Contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams
  • Appropriate for a full year course, this book is written under the assumption that students are familiar with calculus
1119329430
Introduction to Probability Models

Introduction to Probability Models, Eleventh Edition is the latest version of Sheldon Ross's classic bestseller, used extensively by professionals and as the primary text for a first undergraduate course in applied probability. The book introduces the reader to elementary probability theory and stochastic processes, and shows how probability theory can be applied fields such as engineering, computer science, management science, the physical and social sciences, and operations research.

The hallmark features of this text have been retained in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. The book contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams. It also presents new applications of probability models in biology and new material on Point Processes, including the Hawkes process. There is a list of commonly used notations and equations, along with an instructor's solutions manual.

This text will be a helpful resource for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.

  • Updated data, and a list of commonly used notations and equations, instructor's solutions manual
  • Offers new applications of probability models in biology and new material on Point Processes, including the Hawkes process
  • Introduces elementary probability theory and stochastic processes, and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences, and operations research
  • Covers finite capacity queues, insurance risk models, and Markov chains
  • Contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams
  • Appropriate for a full year course, this book is written under the assumption that students are familiar with calculus
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Introduction to Probability Models

Introduction to Probability Models

by Sheldon M. Ross
Introduction to Probability Models

Introduction to Probability Models

by Sheldon M. Ross

eBook

$99.95 

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Overview

Introduction to Probability Models, Eleventh Edition is the latest version of Sheldon Ross's classic bestseller, used extensively by professionals and as the primary text for a first undergraduate course in applied probability. The book introduces the reader to elementary probability theory and stochastic processes, and shows how probability theory can be applied fields such as engineering, computer science, management science, the physical and social sciences, and operations research.

The hallmark features of this text have been retained in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. The book contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams. It also presents new applications of probability models in biology and new material on Point Processes, including the Hawkes process. There is a list of commonly used notations and equations, along with an instructor's solutions manual.

This text will be a helpful resource for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.

  • Updated data, and a list of commonly used notations and equations, instructor's solutions manual
  • Offers new applications of probability models in biology and new material on Point Processes, including the Hawkes process
  • Introduces elementary probability theory and stochastic processes, and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences, and operations research
  • Covers finite capacity queues, insurance risk models, and Markov chains
  • Contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams
  • Appropriate for a full year course, this book is written under the assumption that students are familiar with calculus

Product Details

ISBN-13: 9780124081215
Publisher: Elsevier Science & Technology Books
Publication date: 01/08/2014
Sold by: Barnes & Noble
Format: eBook
Pages: 784
File size: 33 MB
Note: This product may take a few minutes to download.

About the Author

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.

Table of Contents

1. Introduction to Probability Theory2. Random Variables3. Conditional Probability and Conditional Expectation4. Markov Chains5. The Exponential Distribution and the Poisson Process6. Continuous-Time Markov Chains7. Renewal Theory and Its Applications8. Queueing Theory9. Reliability Theory10. Brownian Motion and Stationary Processes11. Simulation

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Ross's bestseller—now updated with new material for actuarial exams and current applications in engineering, science, business, and economics

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