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Añadir al carritoSoftcover. 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.
Idioma: Inglés
Publicado por Academic Press Inc 2015-04-15, 2015
ISBN 10: 0128013702 ISBN 13: 9780128013700
Librería: Chiron Media, Wallingford, Reino Unido
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 328 pages. 8.75x5.75x0.75 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. pp. 256.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2015
ISBN 10: 0128013702 ISBN 13: 9780128013700
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 58,26
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Idioma: Inglés
Publicado por Elsevier Science Apr 2015, 2015
ISBN 10: 0128013702 ISBN 13: 9780128013700
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: moluna, Greven, Alemania
EUR 69,49
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, encourag.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 77,64
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Añadir al carritoTaschenbuch. Condición: 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.