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

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  • Lingua: Inglese

    Editore: World Scientific Publishing Comp, 2003

    9812383565 / 9789812383563

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    Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red

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    Condizione: Usato - Buono

    EUR 116,47

    EUR 3,38 spedizione 
    Spedito in U.S.A.

    Quantità: 1 disponibile

    hardcover. Condizione: 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.

  • Lingua: Inglese

    Editore: World Scientific Pub Co Inc, 2003

    9812383565 / 9789812383563

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Condizione: Nuovo

    EUR 152,38

    EUR 14,96 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 2 disponibili

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

  • Lingua: Inglese

    Editore: WORLD SCIENTIFIC PUB CO INC, 2003

    9812383565 / 9789812383563

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    Da: moluna, Greven, Germaniamoluna

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    Condizione: Nuovo

    EUR 152,07

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Condizione: 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.

  • Lingua: Inglese

    Editore: World Scientific Publishing Company Jun 2003, 2003

    9812383565 / 9789812383563

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 203,69

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Buch. Condizione: 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.…