Ross, Sheldon M  <br/><br/>
Introduction to probability models / 
by  Sheldon M. Ross. 
 - 12th ed 
 - Boston :   Elsevier,   2019 
 - xv, 826 pages :   illustrations ;   24 cm 
<br/><br/>Includes index. 
<br/><br/> <br/>1. Introduction to Probability Theory<br/><br/>  2. Random Variables<br/><br/>  3. Conditional Probability and Conditional Expectation<br/>  4. Markov Chains<br/>  5. The Exponential Distribution and the Poisson Process<br/>  6. Continuous-Time Markov Chains<br/>  7. Renewal Theory and Its Applications<br/>  8. Queueing Theory<br/>  9. Reliability Theory<br/>  10. Brownian Motion and Stationary Processes<br/>  11. Simulation<br/>  12. Coupling<br/>  13. Martingales 
<br/><br/><label>ISBN: </label>9789351073833 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Probabilities<br/>Mathematics<br/>Markov processes<br/>Renewal theory
<br/><br/><label>Dewey Class. No.: </label>519.2   / ROI