Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, Oxford, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Paperback. Condition: new. Paperback. 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.
Published by Oxford University Press, GB, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketPaperback. Condition: 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'.
Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketCondition: New. 2006. 2nd Edition. Paperback. Num Pages: 264 pages, 68 line drawings + 1 halftone. BIC Classification: PBT; PHS. Category: (P) Professional & Vocational. Dimension: 232 x 157 x 16. Weight in Grams: 416. . . . . .
Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketCondition: New. 2006. 2nd Edition. Paperback. Num Pages: 264 pages, 68 line drawings + 1 halftone. BIC Classification: PBT; PHS. Category: (P) Professional & Vocational. Dimension: 232 x 157 x 16. Weight in Grams: 416. . . . . . Books ship from the US and Ireland.
Published by Oxford University Press, GB, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketPaperback. Condition: 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'.
Published by Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Language: English
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Add to basketHardcover: 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.
Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketpaperback. Condition: New. 2nd Edition. Special order direct from the distributor.
Published by Oxford University Press, Oxford, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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.
Published by Oxford University Press OUP, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketCondition: New. pp. 264 2nd Edition.
Paperback. Condition: Brand New. 2nd edition. 246 pages. 9.00x6.00x1.00 inches. In Stock.
Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketCondition: Acceptable. There is some writing through out the book. Corners are bent. There is some underlining through out the book. There is some highlighting through out the book. Cover/Case has some rubbing and edgewear. Access codes, CDs, slipcovers and other accessories may not be included.
Published by Oxford University Press, Oxford, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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 multiple locations in the US or from the UK, depending on stock availability.
Published by Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Add to basketpaperback. Condition: New. In shrink wrap. Looks like an interesting title!
Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Paperback. Condition: Brand New. 2nd edition. 246 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.
Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568320 ISBN 13: 9780198568322
Language: English
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Published by Oxford University Press, 2006
ISBN 10: 0198568312 ISBN 13: 9780198568315
Language: English
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