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...
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Formato: | Libro |
Lenguaje: | Inglés |
Publicado: |
Boca Raton :
CRC Press/Taylor & Francis,
c2014.
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Colección: | Texts in statistical science.
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Materias: | |
Aporte de: | Registro referencial: Solicitar el recurso aquí |
LEADER | 02542cam a2200337 a 4500 | ||
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001 | 99743028204151 | ||
005 | 20190528111459.0 | ||
008 | 140611t20142014flua b 001 0 eng | ||
010 | |a 2014022709 | ||
020 | |a 9781466575578 | ||
020 | |a 1466575573 | ||
035 | |a (OCoLC)881387933 | ||
035 | |a (OCoLC)ocn881387933 | ||
040 | |a DLC |c DLC |d YDX |d YDXCP |d OCLCF |d UBY |d N5L |d PHUST |d OCLCQ |d WAU |d PHCSB |d OCLCQ |d JDP |d OCLCO |d U@S | ||
042 | |a pcc | ||
049 | |a U@SA | ||
050 | 0 | 0 | |a QA273 |b .B558 2014 |
082 | 0 | 0 | |a 519.2 |2 23 |
100 | 1 | |a Blitzstein, Joseph K. | |
245 | 1 | 0 | |a Introduction to probability / |c Joseph K. Blitzstein, Jessica Hwang. |
260 | |a Boca Raton : |b CRC Press/Taylor & Francis, |c c2014. | ||
300 | |a xv, 580 p. : |b il. ; |c 27 cm. | ||
490 | 1 | |a Chapman & Hall/CRC texts in statistical science series | |
500 | |a "A Chapman & Hall book." | ||
504 | |a Incluye referencias bibliográficas (p. 569-570) e índice. | ||
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. | |
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."--Contratapa. | ||
650 | 0 | |a Probabilities |v Textbooks. | |
650 | 7 | |a Probabilidades |v Libros de texto. |2 UDESA | |
700 | 1 | |a Hwang, Jessica. | |
830 | 0 | |a Texts in statistical science. |