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Bayesian Data Analysis

Texts in Statistical Science

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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.

Wydanie

Zakup książki

Bayesian Data Analysis, Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin

Język
Rok wydania
1995
Oprawa
(twarda)
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Metody płatności

4,4
Bardzo dobra
105 Ocena

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Tytuł
Bayesian Data Analysis
Podtytuł
Texts in Statistical Science
Język
angielski
Rok wydania
1995
Oprawa
twarda
Liczba stron
552
ISBN10
0412039915
ISBN13
9780412039911
Seria
Ocena
4,35 z 5
Opis
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.