Isbn: 9780128013700 - bayesian data analysis in ecology using linear models with r, bugs, and stan: including comparisons to frequentist statistics (5 resultados)

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  • Idioma: Inglés

    Editorial: Elsevier, London, 2015

    0128013702 / 9780128013700

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    Librería: Second Story Books, ABAA, Rockville, MD, Estados Unidos de AmericaSecond Story Books, ABAA

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    Miembro de asociación: ABAAILAB

    Condición: Usado

    EUR 61,81

    Envío por EUR 6,22 
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    Cantidad disponible: 1 disponible

    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.

  • Condición: Nuevo

    EUR 88,47

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    Cantidad disponible: 1 disponible

    Paperback. Condición: Brand New. 328 pages. 8.75x5.75x0.75 inches. In Stock.

  • Idioma: Inglés

    Editorial: Elsevier Science, 2015

    0128013702 / 9780128013700

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 56,00

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    Cantidad disponible: 5 disponibles

    Taschenbuch. 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: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: Elsevier Science Apr 2015, 2015

    0128013702 / 9780128013700

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 60,95

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    Cantidad disponible: 2 disponibles

    Taschenbuch. 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.…

  • Idioma: Inglés

    Editorial: Elsevier Science, 2015

    0128013702 / 9780128013700

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 64,82

    Envío por EUR 35,00 
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    Cantidad disponible: 2 disponibles

    Taschenbuch. 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.…