Paperback. Condizione: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Oxford University Press, GB, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 58,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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'.
EUR 55,87
Quantità: 1 disponibili
Aggiungi al carrellohardcover. Condizione: Very Good. Thank you for your purchase. Your order will be carefully packed and shipped promptly. If you have any questions, please contact us through AbeBooks. We appreciate your business.
paperback. Condizione: New. In shrink wrap. Looks like an interesting title!
EUR 93,35
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 246 pages. 9.00x6.00x1.00 inches. In Stock.
Lingua: Inglese
Editore: Oxford University Press, GB, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Da: Rarewaves.com UK, London, Regno Unito
EUR 54,30
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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'.
EUR 120,23
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Da: Revaluation Books, Exeter, Regno Unito
EUR 67,40
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 246 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Oxford University Press|OUP Oxford, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Da: moluna, Greven, Germania
EUR 156,35
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: 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.