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Introduction to Probability Models
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  • Introduction to Probability Models
ID: 173270
Sheldon Ross
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Ross's classic bestseller, Introduction to Probability Models, has been used extensively. It provides an introduction to the analysis of phenomena in fields of science and technology research. With the Society of Actuaries.

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

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