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Hardcover. Condition: 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!
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Introduction to Bayesian Statistics
Language: English
Published by Wiley-Interscience (edition 1), 2004
ISBN 10: 0471270202 ISBN 13: 9780471270201
Hardcover. Condition: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Condition: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
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hardcover. Condition: Good.
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Condition: good. A former library book with all the expected stamps, stickers and markings. Some shelf, storage or usage wear present. The binding is tight and all pages are present. Does not appear to have come with a dustjacket originally. The pages appear unmarked. Pictures available upon request. Individually inspected by Shay. Thanks for supporting an independent bookseller!
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Introduction to Bayesian Statistics
Language: English
Published by Wiley & Sons, Incorporated, John, 2007
ISBN 10: 0470141158 ISBN 13: 9780470141151
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Seller rating 5 out of 5 stars
Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Introduction to Bayesian Statistics
Seller: Looking for Books?, CORPUS CHRISTI, TX, U.S.A.
Seller rating 3 out of 5 stars
Hardcover. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. Fourth Printing. Book is clean and tight. Statistics. Has index; 6.25 X 0.75 X 9.25 inches; 354 pages.
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Introduction to Bayesian Statistics, 2nd Edition
Language: English
Published by Wiley-Interscience August 2007, 2007
ISBN 10: 0470141158 ISBN 13: 9780470141151
Hardcover. Condition: USED Very Good. No Jacket.
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hardcover. Condition: As New.
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hardcover. Condition: Good. 3rd 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).
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Condition: new.
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Condition: New. NEW! hardcoverNew2007.
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hardcover. Condition: New. 3rd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
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Condition: New.
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Introduction to Bayesian Statistics (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2016
ISBN 10: 1118091566 ISBN 13: 9781118091562
Hardcover. Condition: new. Hardcover. ".this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used in Bayesian statistical methods." There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. In this third Edition, four newly-added chapters address topics that reflect the rapid advances in the field of Bayesian statistics. The authors continue to provide a Bayesian treatment of introductory statistical topics, such as scientific data gathering, discrete random variables, robust Bayesian methods, and Bayesian approaches to inference for discrete random variables, binomial proportions, Poisson, and normal means, and simple linear regression. In addition, more advanced topics in the field are presented in four new chapters: Bayesian inference for a normal with unknown mean and variance; Bayesian inference for a Multivariate Normal mean vector; Bayesian inference for the Multiple Linear Regression Model; and Computational Bayesian Statistics including Markov Chain Monte Carlo. The inclusion of these topics will facilitate readers' ability to advance from a minimal understanding of Statistics to the ability to tackle topics in more applied, advanced level books. Minitab macros and R functions are available on the book's related website to assist with chapter exercises. Introduction to Bayesian Statistics, Third Edition also features: Topics including the Joint Likelihood function and inference using independent Jeffreys priors and join conjugate priorThe cutting-edge topic of computational Bayesian Statistics in a new chapter, with a unique focus on Markov Chain Monte Carlo methodsExercises throughout the book that have been updated to reflect new applications and the latest software applicationsDetailed appendices that guide readers through the use of R and Minitab software for Bayesian analysis and Monte Carlo simulations, with all related macros available on the book's website Introduction to Bayesian Statistics, Third Edition is a textbook for upper-undergraduate or first-year graduate level courses on introductory statistics course with a Bayesian emphasis. It can also be used as a reference work for statisticians who require a working knowledge of Bayesian statistics. ". this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Introduction to bayesian statistics
Language: English
Published by John Wiley & Sons Limited, West Sussex, 2007
ISBN 10: 0470141158 ISBN 13: 9780470141151
TAPA DURA. Condition: New.
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Introduction to Bayesian Statistics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Introduction to Bayesian Statistics
Language: English
Published by John Wiley and Sons Ltd, 2007
ISBN 10: 0470141158 ISBN 13: 9780470141151
Condition: Gut. Zustand: Gut | Seiten: 464 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Introduction to Bayesian Statistics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 112.56
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Understanding Computational Bayesian Statistics (Wiley Series in Computational Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 116.59
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Understanding Computational Bayesian Statistics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 116.58
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Introduction to Bayesian Statistics
Language: English
Published by John Wiley and Sons Inc, US, 2016
ISBN 10: 1118091566 ISBN 13: 9781118091562
Hardback. Condition: New. ".this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used in Bayesian statistical methods." There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. In this third Edition, four newly-added chapters address topics that reflect the rapid advances in the field of Bayesian statistics. The authors continue to provide a Bayesian treatment of introductory statistical topics, such as scientific data gathering, discrete random variables, robust Bayesian methods, and Bayesian approaches to inference for discrete random variables, binomial proportions, Poisson, and normal means, and simple linear regression. In addition, more advanced topics in the field are presented in four new chapters: Bayesian inference for a normal with unknown mean and variance; Bayesian inference for a Multivariate Normal mean vector; Bayesian inference for the Multiple Linear Regression Model; and Computational Bayesian Statistics including Markov Chain Monte Carlo. The inclusion of these topics will facilitate readers' ability to advance from a minimal understanding of Statistics to the ability to tackle topics in more applied, advanced level books. Minitab macros and R functions are available on the book's related website to assist with chapter exercises. Introduction to Bayesian Statistics, Third Edition also features: Topics including the Joint Likelihood function and inference using independent Jeffreys priors and join conjugate priorThe cutting-edge topic of computational Bayesian Statistics in a new chapter, with a unique focus on Markov Chain Monte Carlo methodsExercises throughout the book that have been updated to reflect new applications and the latest software applicationsDetailed appendices that guide readers through the use of R and Minitab software for Bayesian analysis and Monte Carlo simulations, with all related macros available on the book's website Introduction to Bayesian Statistics, Third Edition is a textbook for upper-undergraduate or first-year graduate level courses on introductory statistics course with a Bayesian emphasis. It can also be used as a reference work for statisticians who require a working knowledge of Bayesian statistics.
