ISBN: 9789812383563 - bayesian reasoning in data analysis: a critical introduction (4 resultados)

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  • Idioma: Inglés

    Editorial: World Scientific Publishing Comp, 2003

    9812383565 / 9789812383563

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    Librería: HPB-Red, Dallas, TX, Estados Unidos de AmericaHPB-Red

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    Condición: Usado - Aceptable

    EUR 115,14

    Envío por EUR 3,34 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponible

    hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

  • Idioma: Inglés

    Editorial: World Scientific Pub Co Inc, 2003

    9812383565 / 9789812383563

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    Condición: Nuevo

    EUR 152,52

    Envío por EUR 14,97 
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    Cantidad disponible: 2 disponibles

    Hardcover. Condición: Brand New. 329 pages. 9.00x6.00x0.75 inches. In Stock.

  • Idioma: Inglés

    Editorial: WORLD SCIENTIFIC PUB CO INC, 2003

    9812383565 / 9789812383563

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 152,07

    Envío por EUR 48,99 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Condición: New. A multi-level introduction to Bayesian reasoning. The basic ideas of this approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference combination of results.

  • Idioma: Inglés

    Editorial: World Scientific Publishing Company Jun 2003, 2003

    9812383565 / 9789812383563

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

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    Condición: Nuevo

    EUR 203,69

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Buch. Condición: Neu. Neuware - This book provides a multi-level introduction to Bayesian reasoning (as opposed to 'conventional statistics') and its applications to data analysis. The basic ideas of this 'new' approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide -- under well-defined assumptions! -- with 'standard' methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.…