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Introduction to probability models /
Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling and stochastic processes and shows how probability theory can be applied in fields such as engineering, co...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom :
Academic Press, an imprint of Elsevier,
2019.
|
| Edición: | Twelfth edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 019 | |a 1099531644 |a 1167657203 | ||
| 020 | |a 9780128143476 |q (electronic book) | ||
| 020 | |a 0128143479 |q (electronic book) | ||
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| 082 | 0 | 4 | |a 519.2 |2 23 |
| 100 | 1 | |a Ross, Sheldon M., |e author. | |
| 245 | 1 | 0 | |a Introduction to probability models / |c Sheldon M. Ross. |
| 250 | |a Twelfth edition. | ||
| 264 | 1 | |a London, United Kingdom : |b Academic Press, an imprint of Elsevier, |c 2019. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ScienceDirect, viewed March 19, 2019). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Introduction to Probability Theory -- Chapter 2. Random Variables -- Chapter 3. Conditional Probability and Conditional Expectation -- Chapter 4. Markov Chains -- Chapter 5. The Exponential Distribution and the Poisson Process -- Chapter 6. Continuous-Time Markov Chains -- Chapter 7. Renewal Theory and Its Applications -- Chapter 8. Queueing Theory -- Chapter 9. Reliability Theory -- Chapter 10. Brownian Motion and Stationary Processes -- Chapter 11. Simulation -- Chapter 12. Coupling. | |
| 520 | |a Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling 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. The hallmark features of this text have been retained in this edition, including a superior writing style and excellent exercises and examples covering the wide breadth of coverage of probability topics. In addition, many real-world applications in engineering, science, business and economics are included. | ||
| 650 | 0 | |a Probabilities. | |
| 650 | 2 | |a Probability |0 (DNLM)D011336 | |
| 650 | 6 | |a Probabilit�es. |0 (CaQQLa)201-0011592 | |
| 650 | 7 | |a probability. |2 aat |0 (CStmoGRI)aat300055653 | |
| 650 | 7 | |a Probabilities. |2 fast |0 (OCoLC)fst01077737 | |
| 776 | 0 | 8 | |i Print version: |a Ross, Sheldon M. |t Introduction to probability models. |b Twelfth edition. |d London, United Kingdom : Academic Press, an imprint of Elsevier, 2019 |z 0128143460 |z 9780128143469 |w (OCoLC)1047779807 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128143469 |z Texto completo |