Bayesian statistics introduction von lee peter (46 Ergebnisse)

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.…

Paperback. Zustand: Good. Bayesian Statistics is the school of thought that uses all information surrounding the likelihood of an event rather than just that collected experimentally. Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's well-established introduction maintains the clarity of exposition and use of examples for which this text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS (Bayesian Inference Using Gibbs Sampling) as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modelling and Bernardo's theory of reference points.…

Paperback. Zustand: Very Good. 3. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Good. Bayesian Statistics is the school of thought that uses all information surrounding the likelihood of an event rather than just that collected experimentally. Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's well-established introduction maintains the clarity of exposition and use of examples for which this text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS (Bayesian Inference Using Gibbs Sampling) as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modelling and Bernardo's theory of reference points.…

Paperback. Zustand: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Fair. 2. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

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Zustand: 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.

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Soft cover. Zustand: Very Good. 3rd Edition. Very good copy with light wear to extremities. Free of any markings.

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Zustand: Good. Book is in very nice condition, pages are tight. A few pages in the preface have underlining.

Softcover. Zustand: Very Good. Zustand des Schutzumschlags: N/A. 1st Edition. First US edition. x, 294pp, with numerous calculations and tables in text. Laminated stiff card covers. 8vo. A little gentle edge wear to card covers, with a hint of toning around edges.

Soft cover. Zustand: As New. 3rd Edition. This is a fine, as new, third edition paperback copy, black spine , 351 pages with index.

Soft cover. Zustand: As New. 2nd Edition. This is a fine, as new, second edition paperback copy, white/blue spine.

Paperback. Zustand: Fair. 4. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Soft cover. Zustand: Fine. 3rd Edition. B00K: Fine/, $35.77 0340814055 BAYESIAN STATISTICS: an INTRODUCTION * LEE, Peter M. A Hodder Arnold Publication 2004 3rD Edition, 4tH Printing United Kingdom, New York And Various Locations Tall S/c Glossy Black Spine With Title In 0ff~White Letters, Soft Cover B00K: Fine/, Slight Shelf, Edge And Corner Wear. 351 Numbered Pages That Are Printed On 0ff~White Paper In Fine/ Condition, Lightly Viewed, Clean And Tight To The Spine. Has Had Very Little Use. D/j: None. = No Odors, No Writing, No Names, No Rippling, Not Stuck Together, No Book Plate, Not X~Library, No Remainder Or Other Marks. This Item Will Be Sent Wrapped In Plastic, Taped Shut And In A = Padded Mailing Envelope = To Prevent Shipping Damage So That It Will Arrive In The Description Described. Description Applies To This B00K, Only. = This B00K Is Hard To Find, Will Be Packaged And Shipped Carefully, = To Avoid Shipping Damage And Will Make It, An Excellent Addition To Your Own Personal Library Collection, Or As A Gift, For The Discriminating Reader / Collector. = WORLD WIDE SHIPPING, AVAILABLE *. Fine/, 2004 (illustrator).…

Paperback. Zustand: Good. Book contains highlighting from previous owner. Book contains markings and notes from previous owner. Spill stain to edge of pages. - Good overall condition. General wear. No major blemishes.; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be packaged with care and ship on the same or next business day. Buy with confidence.…

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780340677858. …

Zustand: good. This book is in good condition, with minimal signs of wear and tear.

Zustand: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Nov. 2 (weekend sale item)* 496 pp., paperback, fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. …

Paperback. Zustand: Fine.

Paperback. Zustand: Very Good. Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lees book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up step by step, and important notions such as sufficiency are brought out of a discussion of the salient features of specific examples. This edition: Includes expanded coverage of Gibbs sampling, including more numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS.Presents significant new material on recent techniques such as Bayesian importance sampling, variational Bayes, Approximate Bayesian Computation (ABC) and Reversible Jump Markov Chain Monte Carlo (RJMCMC).Provides extensive examples throughout the book to complement the theory presented.Accompanied by a supporting website featuring new material and solutions. More and more students are realizing that they need to learn Bayesian statistics to meet their academic and professional goals. This book is best suited for use as a main text in courses on Bayesian statistics for third and fourth year undergraduates and postgraduate students. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

paperback. Zustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Book contains pen markings. In poor condition, suitable as a reading copy. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780470689202.…

Soft cover. Zustand: Very Good. 3rd Edition. a clean bright and tight copy of 351pp includes index. a very good condition copy. minor bumping to bottom right hand corner, does not effect reading.

Softcover. Zustand: Fair. Among Statisticians The Bayesian Approach Continues To Gain Adherents And This New Edition Of Peter Lee s Classic Introduction Maintains The Clarity Of Exposition And Use Of Examples For Which The Text Is Known And Praised. In Addition, There Is Extended Coverage Of The Metropolis-hastings Algorithm As Well As An Introduction To The Use Of Bugs, As This Is Now The Standard Computational Tool For Such Numerical Work. Other Alterations Include New Material On Generalized Linear Modeling And Bernardo s Theory Of Reference Points. 1. Preliminaries -- 2. Bayesian Inference For The Normal Distribution -- 3. Some Other Common Distributions -- 4. Hypothesis Testing -- 5. Two-sample Problems -- 6. Correlation, Regression And The Analysis Of Variance -- 7. Other Topics -- 8. Hierarchical Models -- 9. Gibbs Sampler And Other Numerical Methods. Peter M. Lee. Includes Bibliographical References (p. 337 -346) And Index.…

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