First Course Bayesian Statistical by Hoff Peter (51 results)
Language: English
Published by Springer, 2009
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Language: English
Published by Springer, 2009
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Published by Springer, 2009
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Language: English
Published by Springer, 2010
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Language: English
Published by Springer, 2010
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Language: English
Published by Springer, 2010
Series: Springer Texts in Statistics, Book 37 of 111. Book 37 of 111 - Springer Texts in Statistics
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Language: English
Published by Springer, 2010
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paperback. Condition: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Softcover reprint of hardcover 1st ed. 2009.
Language: English
Published by Springer, 2010
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Published by Springer, 2010
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Language: English
Published by Springer, 2010
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Language: English
Published by Springer, 2010
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Published by Springer-Verlag New York Inc., New York, NY, 2010
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Paperback. Condition: new. Paperback. * A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. * Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. * The development of Monte Carlo and… Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods. This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible to those with a basic familiarity with probability, yet allows advanced readers to grasp the principles underlying Bayesian theory and method. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Springer-Verlag New York Inc., US, 2010
Series: Springer Texts in Statistics, Book 37 of 111. Book 37 of 111 - Springer Texts in Statistics
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Paperback. Condition: New. * A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. * Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. * The development of Monte Carlo and Markov cha…in Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods. Softcover reprint of hardcover 1st ed. 2009.
Language: English
Published by Springer, 2009
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Language: English
Published by Springer, 2010
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Published by Springer, 2010
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Published by Springer 2010-11, 2010
Series: Springer Texts in Statistics, Book 37 of 111. Book 37 of 111 - Springer Texts in Statistics
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Published by Springer, 2010
Series: Springer Texts in Statistics, Book 37 of 111. Book 37 of 111 - Springer Texts in Statistics
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Couverture souple. Condition: Comme neuf. ** France : Par défaut Livraison STANDARD en Relais Colis / PRIORITAIRE : Livraison à domicile ** Springer verlag, New York, 2010. Language: English. Softcover, 8vo, 270 pp. This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessi…ble to those with a basic familiarity with probability, yet allows advanced readers to grasp the principles underlying Bayesian theory and method. Cover and pages clean, a copy in mint condition. // Springer verlag, New York, 2010. Texte en Anglais. In-8 broché, 270 pp. Une introduction à la théorie et à l'application des méthodes statistiques bayésiennes. Accessible à ceux qui ont une connaissance de base des probabilités, tout en permettant aux lecteurs avancés de comprendre les principes qui sous-tendent la théorie et la méthode bayésiennes. Couv. et pages propres, exemplaire en excellent état. - ISBN 9781441928283 - Weight / Poids livre : 468 g, ép. 16 mm. Livre.
Language: English
Published by Springer, 2010
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Language: English
Published by Springer, 2009
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Published by Springer-Verlag New York Inc., US, 2009
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Hardback. Condition: New. 1st ed. 2009. * A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. * Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. * The development of Monte Carlo a…nd Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
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Published by Springer, 2009
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Language: English
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