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Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Routledge (edition 1), 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Paperback. Condition: As New. 1. It's a preowned item in almost perfect condition. It has no visible cosmetic imperfections. May come without any shrink wrap; pages are clean and not marred by notes or folds of any kind.
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Bayesian Statistical Methods (Paperback)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Ltd, London, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Paperback. Condition: new. Paperback. Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures.In addition to the basic concepts of Bayesian inferential methods, the book covers many general topics: Advice on selecting prior distributions Computational methods including Markov chain Monte Carlo (MCMC) Model-comparison and goodness-of-fit measures, including sensitivity to priors Frequentist properties of Bayesian methods Case studies covering advanced topics illustrate the flexibility of the Bayesian approach: Semiparametric regression Handling of missing data using predictive distributions Priors for high-dimensional regression models Computational techniques for large datasets Spatial data analysis The advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets, and complete data analyses are available on the books website.Brian J. Reich, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the Journal of Agricultural, Biological, and Environmental Statistics and was awarded the LeRoy & Elva Martin Teaching Award.Sujit K. Ghosh, Professor of Statistics at North Carolina State University, has over 22 years of research and teaching experience in conducting Bayesian analyses, received the Cavell Brownie mentoring award, and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute. Designed to provide a good balance of theory and computational methods that will appeal to students and practitioners with minimal mathematical and statistical background and no experience in Bayesian statistics to students and practitioners looking for advanced methodologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
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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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
hardcover. Condition: Acceptable. Readable condition, all page intact, has wear, some writing or highlighting inside.
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Bayesian Statistical Methods 1st Edition
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by H N H International Limited, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Condition: New.
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Bayesian Statistical Methods 1st Edition
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by H N H International Limited, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Condition: New.
-
Bayesian Statistical Methods 1st Edition
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by H N H International Limited, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Condition: New.
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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 52.67
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Routledge 2021-06-30, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Paperback. Condition: New.
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Bayesian Statistical Methods (Paperback)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Ltd, London, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Paperback. Condition: new. Paperback. Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures.In addition to the basic concepts of Bayesian inferential methods, the book covers many general topics: Advice on selecting prior distributions Computational methods including Markov chain Monte Carlo (MCMC) Model-comparison and goodness-of-fit measures, including sensitivity to priors Frequentist properties of Bayesian methods Case studies covering advanced topics illustrate the flexibility of the Bayesian approach: Semiparametric regression Handling of missing data using predictive distributions Priors for high-dimensional regression models Computational techniques for large datasets Spatial data analysis The advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets, and complete data analyses are available on the books website.Brian J. Reich, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the Journal of Agricultural, Biological, and Environmental Statistics and was awarded the LeRoy & Elva Martin Teaching Award.Sujit K. Ghosh, Professor of Statistics at North Carolina State University, has over 22 years of research and teaching experience in conducting Bayesian analyses, received the Cavell Brownie mentoring award, and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute. Designed to provide a good balance of theory and computational methods that will appeal to students and practitioners with minimal mathematical and statistical background and no experience in Bayesian statistics to students and practitioners looking for advanced methodologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Bayesian Statistical Methods
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Condition: As New. Unread book in perfect condition.
-
Bayesian Statistical Methods
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC 2019-06-11, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Hardcover. Condition: New.
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Bayesian Statistical Methods
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Condition: New.
-
Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Condition: New.
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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,650grams, ISBN:9780815378648.
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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Condition: New.
-
Bayesian Statistical Methods
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Bayesian Statistical Methods
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Inc, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Bayesian Statistical Methods:
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Group, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Condition: New. pp. 274.
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Bayesian Statistical Methods (Chapman & Hall/CRC Texts in Statistical Science)
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 105.55
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Bayesian Statistical Methods:
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Taylor & Francis Group, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Condition: New. pp. 274.
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Hardcover. Condition: Brand New. 275 pages. 9.25x6.50x0.75 inches. In Stock.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Bayesian Statistical Methods
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 54.20
£ 5.02 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Bayesian Statistical Methods
Book 94 of 139: Chapman & Hall/CRC Texts in Statistical ScienceLanguage: English
Published by Chapman And Hall/CRC Jun 2021, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures.In addition to the basic concepts of Bayesian inferential methods, the book covers many general topics: Advice on selecting prior distributionsComputational methods including Markov chain Monte Carlo (MCMC) Model-comparison and goodness-of-fit measures, including sensitivity to priorsFrequentist properties of Bayesian methodsCase studies covering advanced topics illustrate the flexibility of the Bayesian approach:Semiparametric regression Handling of missing data using predictive distributionsPriors for high-dimensional regression modelsComputational techniques for large datasetsSpatial data analysisThe advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code, motivating data sets, and complete data analyses are available on the book's website.Brian J. Reich, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the Journal of Agricultural, Biological, and Environmental Statistics and was awarded the LeRoy & Elva Martin Teaching Award.Sujit K. Ghosh, Professor of Statistics at North Carolina State University, has over 22 years of research and teaching experience in conducting Bayesian analyses, received the Cavell Brownie mentoring award, and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute. 288 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Brian J. Reich, Associate Professor of Statistics at North Carolina State University, is currently the editor-in-chief of the Journal of Agricultural, Biological, and Environmental Statistics and was awarded the LeRoy & Elva M.
