Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Gelman, Andrew

ISBN 10: 1439840954 / ISBN 13: 9781439840955

Verlag: Chapman and Hall/CRC, 2013

Beschreibung

Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Bestandsnummer des Verkäufers 001059885U

Bibliografische Details

Titel: Bayesian Data Analysis (Chapman & Hall/CRC ...

Verlag: Chapman and Hall/CRC

Erscheinungsdatum: 2013

Einband: hardcover

Zustand: Good

Auflage: 3rd Edition.

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Inhaltsangabe:

Bayesian data analysis:106 third edition editado por

Críticas:

"The second edition was reviewed in JASA by Maiti (2004) ... we now stand 10 years later with an even more impressive textbook that truly stands for what Bayesian data analysis should be. ... this being a third edition begets the question of what is new when compared with the second edition? Quite a lot ... this is truly the reference book for a graduate course on Bayesian statistics and not only Bayesian data analysis."
―Christian P. Robert, Journal of the American Statistical Association, September 2014, Vol. 109

Praise for the Second Edition
... it is simply the best all-around modern book focused on data analysis currently available. ... There is enough important additional material here that those with the first edition should seriously consider updating to the new version. ... when students or colleagues ask me which book they need to start with in order to take them as far as possible down the road toward analyzing their own data, Gelman et al. has been my answer since 1995. The second edition makes this an even more robust choice.
―Lawrence Joseph, Montreal General Hospital and McGill University, Statistics in Medicine, Vol. 23, 2004

I am thoroughly excited to have this book in hand to supplement course material and to offer research collaborators and clients at our consulting lab more sophisticated methods to solve their research problems.
―John Grego, University of South Carolina, USA

... easily the most comprehensive, scholarly, and thoughtful book on the subject, and I think will do much to promote the use of Bayesian methods
―David Blackwell, University of California, Berkeley, USA