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- 552pages
- 20 heures de lecture
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Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the book focuses on modern computational tools and obtains inferences using computer simulations. Its unique features include thorough discussions of the methods for checking Bayesian models and the role of the design of data collection in influencing Bayesian statistical analysis. Bayesian Data Analysis offers the practicing statistician singular guidance on all aspects of the subject.
Achat du livre
Bayesian Data Analysis, Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin
- Langue
- Année de publication
- 1995
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- (rigide)
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- Titre
- Bayesian Data Analysis
- Sous-titre
- Texts in Statistical Science
- Langue
- Anglais
- Éditeur
- Chapman and Hall/CRC
- Publié
- 1995
- Format
- rigide
- Pages
- 552
- ISBN10
- 0412039915
- ISBN13
- 9780412039911
- Séries
- Mots clés
- Nonfiction, Manuels, Technologie & Ingénierie, Manuels et guides, Informatique & Internet, Science, Technologie, Manuels de mathématiques
- Évaluation
- 4,35 sur 5
- Description
- Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the book focuses on modern computational tools and obtains inferences using computer simulations. Its unique features include thorough discussions of the methods for checking Bayesian models and the role of the design of data collection in influencing Bayesian statistical analysis. Bayesian Data Analysis offers the practicing statistician singular guidance on all aspects of the subject.