Introduction to Probability Models

New to this Edition:

• 65% new chapter material, including insurance and markov chains


• Contains compulsory material for new. Exam of the new exams


• Updated, and a list of all used notations, a robust ancillary package, including ISM, SSM, test bank, and companion website


• Includes SPSS PASW Modeler and SAS JMP software packages which are widely used in the field

Hallmark features:

• Superior writing style


• Excellent exercises and examples covering the problems of problems


• Real-world applications in engineering, science, business and economics

Preface

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

Appendix: Solutions to Starred Exercises
index