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Introduction to probability /
"Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google P...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press/Taylor & Francis Group,
[2015]
|
| Colección: | Texts in statistical science.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Blitzstein, Joseph K., |e author. | |
| 245 | 1 | 0 | |a Introduction to probability / |c Joseph K. Blitzstein, Jessica Hwang. |
| 264 | 1 | |a Boca Raton : |b CRC Press/Taylor & Francis Group, |c [2015] | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (xv, 570 pages) : |b illustrations | ||
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| 490 | 1 | |a Chapman & Hall/CRC texts in statistical science series | |
| 500 | |a "A Chapman & Hall book." | ||
| 504 | |a Includes bibliographical references (pages 569-570). | ||
| 505 | 0 | |a 1. Probability and counting -- 2. Conditional probability -- 3. Random variables and their distributions -- 4. Expectation -- 5. Continuous random variables -- 6. Moments -- 7. Joint distributions -- 8. Transformations -- 9. Conditional expectation -- 10. Inequalities and limit theorems -- 11. Markov chains -- 12. Markov chain Monte Carlo -- 13. Poisson processes -- Appendices. | |
| 520 | |a "Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment"--Provided by publisher. | ||
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Probabilities |v Textbooks. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 2 | |a Probability | |
| 650 | 6 | |a Probabilités. | |
| 650 | 7 | |a probability. |2 aat | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Probabilities |2 fast | |
| 655 | 7 | |a Textbooks |2 fast | |
| 655 | 7 | |a Textbooks. |2 lcgft | |
| 700 | 1 | |a Hwang, Jessica, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Blitzstein, Joseph K. |t Introduction to probability |z 9781466575578 |w (DLC) 2014022709 |w (OCoLC)881387933 |
| 830 | 0 | |a Texts in statistical science. | |
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