Introduction to probability models

Summary

Titles

• Full Title: Introduction to probability models/ Sheldon M. Ross.

Edition Statement

• 6th ed.

Notes

• Includes bibliographical references and index.
• 1. Introduction to Probability Theory -- 2. Random Variables -- 3. Conditional Probability and Conditional Expectation -- 4. Markov Chains -- 5. The Exponential Distribution and the Poisson Process -- 6. Continuous-Time Markov Chains -- 7. Renewal Theory and Its Applications -- 8. Queueing Theory -- 9. Reliability Theory -- 10. Brownian Motion and Stationary Processes -- 11. Simulation.

Identifiers

• Isbns: 0125984707; 9780125984706
• Oclc Number: (OCoLC)35673489

Publication Statement

• Place: San Diego, CA
• Publisher: Academic Press
• Date: 1997

Physical Description

• Extent: xiv, 669 pages ;
• Dimensions: 24 cm

Table Of Contents

• 1. Introduction to Probability Theory -- 2. Random Variables -- 3. Conditional Probability and Conditional Expectation -- 4. Markov Chains -- 5. The Exponential Distribution and the Poisson Process -- 6. Continuous-Time Markov Chains -- 7. Renewal Theory and Its Applications -- 8. Queueing Theory -- 9. Reliability Theory -- 10. Brownian Motion and Stationary Processes -- 11. Simulation.

Summary

• Introducing elementary probability theory and stochastic processes, this text includes additional exercises in every chapter and a new appendix with the answers to approximately 100 of the included exercises from throughout the text.

Subjects

Writers