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Tools Statistical Inference Methods Exploration by Tanner Martin (24 results)
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Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics)
Book 31 of 160: Springer Series in StatisticsLanguage: English
Published by Springer (edition 3rd), 1996
ISBN 10: 0387946888 ISBN 13: 9780387946887
Hardcover. Condition: Fair. 3rd. 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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hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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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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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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Hard Cover. Condition: Very Good. 207pp, yellow hardback, VG, small scrape along edge of the front cover, figures, equations, references, subject index, practice exercises at the end of each chapter, "introduction to a variety of computational algorithms for Bayesian and likelihood inference".
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Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics)
Book 31 of 160: Springer Series in StatisticsSeller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Hard Cover. Condition: Very Good. No Jacket. No markings. Some very minor shelf and handling wear.
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9780387940311.
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Tools for Statistical Inference Methods for the Exploration of Posterior Distributions and Likelihood Functions
Book 31 of 160: Springer Series in StatisticsSeller: Powell's Bookstores Chicago, ABAA, Chicago, IL, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: Very Good. 3rd. Minor shelf wear; sunning to edges of boards. Else a bright, clean copy. This book provides a unified introduction to a variety of computational algorithms for Bayesian and likelihood inference. In this third edition, I have attempted to expand the treatment of many of the techniques discussed. I have added some new examples, as well as included recent results. Exercises have been added at the end of each chapter. Prerequisites for this book include an understanding of mathematical statistics at the level of Bickel and Doksum (1977), some understanding of the Bayesian approach as in Box and Tiao (1973), some exposure to statistical models as found in McCullagh and NeIder (1989), and for Section 6. 6 some experience with condi tional inference at the level of Cox and Snell (1989). I have chosen not to present proofs of convergence or rates of convergence for the Metropolis algorithm or the Gibbs sampler since these may require substantial background in Markov chain theory that is beyond the scope of this book. However, references to these proofs are given. There has been an explosion of papers in the area of Markov chain Monte Carlo in the past ten years. I have attempted to identify key references-though due to the volatility of the field some work may have been missed.
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Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions Springer Series in Statistics
Language: English
Published by Springer, 1996
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
Seller rating 5 out of 5 stars
gebundene Ausgabe. Condition: Gut. 3rd ed. 207 Seiten; Das Buch befindet sich in einem gut erhaltenen Zustand. Namensvermerk des Vorbesitzers im Vorsatz. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 505.
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Tools for Statistical Inference. Methods for the Exploration of Posterior Distributions and Likelihood Functions
Book 31 of 160: Springer Series in StatisticsSeller: Sonnets And Symphonies, Bristol, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. Image shows actual book for sale. Book Condition: Very Good; firm binding; contents very good; slight fading to spine. No Dust Jacket. Hard Cover Springer 1993 Mathematics.
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Hardcover. Condition: Good. 2nd edition. Prior owner's name inked on first page upper right corner, else pages clean & bright; binding tight; minor wear to covers. 156 pages. Illustrated. Size: 6" x 9".
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:0387940316.
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Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics)
Book 31 of 160: Springer Series in StatisticsSeller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Good. Book is bent.
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Hardcover. Condition: Fine. Hardcover. No noticeable cover wear. Clean unmarked text. Tight binding.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions. Springer series in statistics
Language: English
Published by New York ; Berlin ; Heidelberg ; London ; Paris ; Tokyo ; Hong Kong ; Barcelona ; Budapest : Springer,, 1993
ISBN 10: 3540940316 ISBN 13: 9783540940319
Seller: Die Wortfreunde - Antiquariat Wirthwein Matthias Wirthwein, Mannheim, Germany
Seller rating 5 out of 5 stars
OPp, gebundene Ausgabe. 2. ed. IX, 156 S. : graph. Darst. ; 24 cm Deckelinnenseite mit Besitzernamen, sonst sehr gutes Exemplar, sieht kaum oder nicht gelesen aus. Sprache: Englisch Gewicht in Gramm: 450.
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Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics)
Book 31 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 117.36
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics)
Book 31 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 117.36
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Paperback. Condition: Brand New. 3rd edition. 220 pages. 9.10x6.10x0.60 inches. In Stock.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a unified introduction to a variety of computational algorithms for Bayesian and likelihood inference. In this third edition, I have attempted to expand the treatment of many of the techniques discussed. I have added some new examples, as well as included recent results. Exercises have been added at the end of each chapter. Prerequisites for this book include an understanding of mathematical statistics at the level of Bickel and Doksum (1977), some understanding of the Bayesian approach as in Box and Tiao (1973), some exposure to statistical models as found in McCullagh and NeIder (1989), and for Section 6. 6 some experience with condi tional inference at the level of Cox and Snell (1989). I have chosen not to present proofs of convergence or rates of convergence for the Metropolis algorithm or the Gibbs sampler since these may require substantial background in Markov chain theory that is beyond the scope of this book. However, references to these proofs are given. There has been an explosion of papers in the area of Markov chain Monte Carlo in the past ten years. I have attempted to identify key references-though due to the volatility of the field some work may have been missed.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a unified introduction to a variety of computational algorithms for Bayesian and likelihood inference. In this third edition, I have attempted to expand the treatment of many of the techniques discussed. I have added some new examples, as well as included recent results. Exercises have been added at the end of each chapter. Prerequisites for this book include an understanding of mathematical statistics at the level of Bickel and Doksum (1977), some understanding of the Bayesian approach as in Box and Tiao (1973), some exposure to statistical models as found in McCullagh and NeIder (1989), and for Section 6. 6 some experience with condi tional inference at the level of Cox and Snell (1989). I have chosen not to present proofs of convergence or rates of convergence for the Metropolis algorithm or the Gibbs sampler since these may require substantial background in Markov chain theory that is beyond the scope of this book. However, references to these proofs are given. There has been an explosion of papers in the area of Markov chain Monte Carlo in the past ten years. I have attempted to identify key references-though due to the volatility of the field some work may have been missed.
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Hardcover. Condition: Like New. Like New. book.
