Idioma: Inglés
Publicado por Oxford University Press, Incorporated, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: Better World Books Ltd, Dunfermline, Reino Unido
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Añadir al carritoCondición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
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Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
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Añadir al carritoHardcover: 23.6 x 2 x 15.7 cm. 2. 246 p. Unread book. Very good condition. Slight traces of storage. Spine edge slightly bumped. 9780198568315 Sprache: Englisch Gewicht in Gramm: 558.
Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
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Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
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Idioma: Inglés
Publicado por Oxford University Press, GB, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 155,30
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Añadir al carritoHardback. Condición: New. Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.
Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
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Añadir al carritoHardcover. Condición: New. In shrink wrap. Looks like an interesting title!
Idioma: Inglés
Publicado por Oxford University Press, GB, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: Rarewaves.com UK, London, Reino Unido
EUR 147,22
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Añadir al carritoHardback. Condición: New. Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.
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Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
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Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 128,33
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
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Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Oxford University Press, Oxford, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 134,45
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Añadir al carritoHardcover. Condición: new. Hardcover. Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustratedwith a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximumlikelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'. This is the second edition of the first tutorial book on Bayesian methods and maximum entropy aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a variety of problems in data analysis. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Oxford University Press, Oxford, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: CitiRetail, Stevenage, Reino Unido
EUR 122,61
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Añadir al carritoHardcover. Condición: new. Hardcover. Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis. This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustratedwith a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximumlikelihood, error-propagation, hypothesis testing, maximum entropy and experimental design. The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'. This is the second edition of the first tutorial book on Bayesian methods and maximum entropy aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a variety of problems in data analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Oxford University Press|OUP Oxford, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: moluna, Greven, Alemania
EUR 156,35
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the second edition of the first tutorial book on Bayesian methods and maximum entropy aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a va.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 168,82
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.
Librería: preigu, Osnabrück, Alemania
EUR 162,10
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Añadir al carritoBuch. Condición: Neu. Data Analysis a Bayesian Tutorial Second Edition | Devinderjit Sivia (u. a.) | Buch | Englisch | 2006 | OUP Oxford | EAN 9780198568315 | Verantwortliche Person für die EU: Deutsche Bibelgesellschaft, Postfach:81 03 40, 70567 Stuttgart, vertrieb[at]dbg[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Oxford University Press OUP, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 245,74
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Añadir al carritoCondición: New. Print on Demand pp. 260.
Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand pp. 260 Illus.
Idioma: Inglés
Publicado por Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 258,15
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 260.