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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2021-09, 2021
ISBN 10: 1032177152 ISBN 13: 9781032177151
Da: Chiron Media, Wallingford, Regno Unito
EUR 69,11
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Aggiungi al carrelloPF. Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 2), 2019
ISBN 10: 1498785751 ISBN 13: 9781498785754
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Good. 2. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 580 pages. 10.00x7.00x1.34 inches. In Stock.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2019-10-03, 2019
ISBN 10: 1498785751 ISBN 13: 9781498785754
Da: Chiron Media, Wallingford, Regno Unito
EUR 112,05
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Aggiungi al carrelloHardcover. Condizione: New.
Condizione: New.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Bayesian Hierarchical Models | With Applications Using R, Second Edition | Peter D. Congdon | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9781032177151 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Aggiungi al carrelloCondizione: Used: Good. Occasion - Bon Etat - Bayesian hierarchical models : With applications using R (2019) - Grand Format.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 54,22
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 72,53
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods.The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples.The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities.Features:Provides a comprehensive and accessible overview of applied Bayesian hierarchical modellingIncludes many real data examples to illustrate different modelling topicsR code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementationSoftware options and coding principles are introduced in new chapter on computingPrograms and data sets available on the book's website.