Da: Second Story Books, ABAA, Rockville, MD, U.S.A.
Softcover. Second Printing. Octavo, 316 pages. In Very Good minus condition. Blue spine with orange and white text. Covers have slight bending to corners. Textblock clean. Shelved ND-E. 1377815. FP New Rockville Stock.
Lingua: Inglese
Editore: Academic Press Inc 2015-04-15, 2015
ISBN 10: 0128013702 ISBN 13: 9780128013700
Da: Chiron Media, Wallingford, Regno Unito
EUR 60,61
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 72,35
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 256.
Da: Revaluation Books, Exeter, Regno Unito
EUR 68,37
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 328 pages. 8.75x5.75x0.75 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 256.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 82,07
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 256.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2015
ISBN 10: 0128013702 ISBN 13: 9780128013700
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 75,85
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: preigu, Osnabrück, Germania
EUR 129,55
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Bayesian Data Analysis in Ecology Using Linear Models with R, Bugs, and Stan | Franzi Korner-Nievergelt (u. a.) | Taschenbuch | Englisch | 2015 | Elsevier Science | EAN 9780128013700 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 58,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 150,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data.Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions-including all R codes-that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. 328 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 156,09
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data.Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions-including all R codes-that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types.