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Data analysis : a Bayesian tutorial.
Focusing on Bayesian methods and maximum entropy, this book shows how a few fundamental rules can be used to tackle a variety of problems in data analysis. Topics covered include reliability analysis, multivariate optimisation, least-squares and maximum likelihood, and more.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford ; New York :
Oxford University Press,
2006.
|
| Edición: | 2nd ed. / |
| Colección: | Oxford science publications.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Sivia, D. S. | |
| 245 | 1 | 0 | |a Data analysis : |b a Bayesian tutorial. |
| 250 | |a 2nd ed. / |b D.S. Sivia with J. Skilling. | ||
| 260 | |a Oxford ; |a New York : |b Oxford University Press, |c 2006. | ||
| 300 | |a 1 online resource (xii, 246 pages) : |b illustrations | ||
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| 490 | 1 | |a Oxford science publications | |
| 504 | |a Includes bibliographical references (pages 237-240) and index. | ||
| 520 | |a Focusing on Bayesian methods and maximum entropy, this book shows how a few fundamental rules can be used to tackle a variety of problems in data analysis. Topics covered include reliability analysis, multivariate optimisation, least-squares and maximum likelihood, and more. | ||
| 505 | 0 | |a PART I: THE ESSENTIALS; 1. The basics; 2. Parameter estimation I; 3. Parameter estimation II; 4. Model selection; 5. Assigning probabilities; PART II: ADVANCED TOPICS; 6. Non-parametric estimation; 7. Experimental design; 8. Least-squares extensions; 9. Nested sampling; 10. Quantification; A. Gaussian integrals; B. Cox's derivation of probability; Bibliography; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 0 | |a Maximum entropy method. | |
| 650 | 0 | |a Multivariate analysis. | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 2 | |a Multivariate Analysis | |
| 650 | 6 | |a Analyse multivariée. | |
| 650 | 6 | |a Statistique mathématique. | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
| 650 | 6 | |a Méthode d'entropie maximale. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Bayesian Analysis. |2 bisacsh | |
| 650 | 7 | |a Multivariate analysis |2 fast | |
| 650 | 7 | |a Mathematical statistics |2 fast | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 650 | 7 | |a Maximum entropy method |2 fast | |
| 700 | 1 | |a Skilling, J. |q (John) |1 https://id.oclc.org/worldcat/entity/E39PBJdCrgXy3KCxBkbdpFXw4q | |
| 758 | |i has work: |a Data analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGkDWxCyWQVdqhqQC9wbv3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Sivia, D.S. |t Data analysis. |b 2nd ed. |d Oxford ; New York : Oxford University Press, 2006 |z 9780198568315 |z 0198568312 |w (DLC) 2006284782 |w (OCoLC)64097278 |
| 830 | 0 | |a Oxford science publications. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=430582 |z Texto completo |
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