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Synopsis
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'.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Devinderjit Singh Sivia
Rutherford Appleton Laboratory
Chilton
Oxon
OX11 5DJ
John Skilling
Maximum Entropy Data Consultants
42 Southgate Street
Bury St Edmonds
Suffolk
IP33 2AZ
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurOxford University Press
- Date d'édition2006
- ISBN 10 0198568312
- ISBN 13 9780198568315
- ReliureRelié
- Langueanglais
- Numéro d'édition2
- Nombre de pages260
- Coordonnées du fabricantnon disponible
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Data Analysis: A Bayesian Tutorial
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Oxford University Press, 2006
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ISBN 13 : 9780198568315
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Data Analysis: A Bayesian Tutorial
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ISBN 10 : 0198568312
ISBN 13 : 9780198568315
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Data Analysis a Bayesian Tutorial Second Edition
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ISBN 13 : 9780198568315
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Data Analysis a Bayesian Tutorial Second Edition
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Oxford University Press, 2006
ISBN 10 : 0198568312
ISBN 13 : 9780198568315
Neuf
Couverture rigide
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Data Analysis : A Bayesian Tutorial
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ISBN 13 : 9780198568315
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Data Analysis : A Bayesian Tutorial
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Oxford University Press, 2006
ISBN 10 : 0198568312
ISBN 13 : 9780198568315
Neuf
Couverture rigide
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Data Analysis : A Bayesian Tutorial
Edité par
Oxford University Press, 2006
ISBN 10 : 0198568312
ISBN 13 : 9780198568315
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Data Analysis (Hardcover)
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ISBN 10 : 0198568312
ISBN 13 : 9780198568315
Neuf
Couverture rigide
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Hardcover. Etat : 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780198568315
Quantité disponible : 1 disponible(s)
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Data Analysis : A Bayesian Tutorial
Edité par
Oxford University Press, 2006
ISBN 10 : 0198568312
ISBN 13 : 9780198568315
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 4210637
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Data Analysis (Hardcover)
Edité par
Oxford University Press, Oxford, 2006
ISBN 10 : 0198568312
ISBN 13 : 9780198568315
Neuf
Couverture rigide
Vendeur : AussieBookSeller, Truganina, VIC, Australie
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Hardcover. Etat : 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780198568315
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