Brian j reich (40 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 60 di 59. Libro 60 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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hardcover. Condizione: 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.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 59 di 59. Libro 59 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Books Liquidation, Sacramento, CA, U.S.A.Books Liquidation
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hardcover. Condizione: Acceptable. Readable condition, all page intact, has wear, some writing or highlighting inside.
Lingua: Inglese
Editore: CRC Press LLC, 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 59 di 59. Libro 59 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Better World Books, Mishawaka, IN, U.S.A.Better World Books
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Condizione: 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.
Lingua: Inglese
Editore: Routledge, 2021
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 59 di 59. Libro 59 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
- Prima edizione
Da: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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paperback. Condizione: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2021
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 59 di 59. Libro 59 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condizione: 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.
Lingua: Inglese
Editore: Routledge, 2021
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 59 di 59. Libro 59 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
- Prima edizione
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2021. 1st Edition. paperback. . . . . .
Lingua: Inglese
Editore: Routledge, 2021
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 59 di 59. Libro 59 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2021. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2021
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 59 di 59. Libro 59 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Brossura
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 61,51
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Paperback. Condizione: 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.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Facetextbooks, LITTLE ROCK, AR, U.S.A.Facetextbooks
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EUR 91,70
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hardcover. Condizione: Good. May contain some writing/highlighting. Cover shows wear from normal use. Supplemental materials such as CDs or access codes are not included unless otherwise noted.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: New.
Lingua: Inglese
Editore: CRC Press, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: CRC Press, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: CRC Press, 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 59 di 59. Libro 59 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Anybook.com, Lincoln, Regno UnitoAnybook.com
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Condizione: 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.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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hardcover. Condizione: New.
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Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New.
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2026. 2nd Edition. hardcover. . . . . .
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Hardback. Condizione: New. Bayesian Statistical Methods: With Applications to Machine Learning provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, this book is more focused on Bayesian methods applied routinely in practice, including multiple linear…regression, mixed effects models and generalized linear models. This second edition includes a new chapter on Bayesian machine learning methods to handle large and complex datasets and several new applications to illustrate the benefits of the Bayesian approach in terms of uncertainty quantification. Readers familiar with only introductory statistics will find this book accessible, as it includes many worked examples with complete R code, and comparisons are presented with analogous frequentist procedures. The book can be used as a one-semester course for advanced undergraduate and graduate students and can be used in courses comprising undergraduate statistics majors, as well as non-statistics graduate students from other disciplines such as engineering, ecology and psychology. In addition to thorough treatment of 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) samplingModel-comparison and goodness-of-fit measures, including sensitivity to priors.To illustrate the flexibility of the Bayesian approaches for complex data structures, the latter chapters provide case studies covering advanced topics:Handling of missing and censored dataPriors for high-dimensional regression modelsMachine learning models including Bayesian adaptive regression trees and deep learningComputational techniques for large datasetsFrequentist properties of Bayesian methods.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 is made available on the book's website.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Speedyhen, Hertfordshire, Regno UnitoSpeedyhen
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EUR 112,33
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Condizione: NEW.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 174,38
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Hardback. Condizione: New. Bayesian Statistical Methods: With Applications to Machine Learning provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, this book is more focused on Bayesian methods applied routinely in practice, including multiple linear…regression, mixed effects models and generalized linear models. This second edition includes a new chapter on Bayesian machine learning methods to handle large and complex datasets and several new applications to illustrate the benefits of the Bayesian approach in terms of uncertainty quantification. Readers familiar with only introductory statistics will find this book accessible, as it includes many worked examples with complete R code, and comparisons are presented with analogous frequentist procedures. The book can be used as a one-semester course for advanced undergraduate and graduate students and can be used in courses comprising undergraduate statistics majors, as well as non-statistics graduate students from other disciplines such as engineering, ecology and psychology. In addition to thorough treatment of 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) samplingModel-comparison and goodness-of-fit measures, including sensitivity to priors.To illustrate the flexibility of the Bayesian approaches for complex data structures, the latter chapters provide case studies covering advanced topics:Handling of missing and censored dataPriors for high-dimensional regression modelsMachine learning models including Bayesian adaptive regression trees and deep learningComputational techniques for large datasetsFrequentist properties of Bayesian methods.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 is made available on the book's website.
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Condizione: New. 2026. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: CRC Press, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: moluna, Greven, Germaniamoluna
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EUR 138,15
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Condizione: New. Brian J. Reich, Gertrude M. Cox Distinguished Professor of Statistics at North Carolina State University, applies Bayesian statistical methods in a variety of fields including environmental epidemiology, engineering, weather and climate.
Lingua: Inglese
Editore: Chapman & Hall, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 182,87
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Hardcover. Condizione: Brand New. 2nd edition. 360 pages. 10.00x7.00x10.24 inches. In Stock.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2026
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 112 di 59. Libro 112 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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EUR 163,96
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Hardback. Condizione: New. Bayesian Statistical Methods: With Applications to Machine Learning provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, this book is more focused on Bayesian methods applied routinely in practice, including multiple linear…regression, mixed effects models and generalized linear models. This second edition includes a new chapter on Bayesian machine learning methods to handle large and complex datasets and several new applications to illustrate the benefits of the Bayesian approach in terms of uncertainty quantification. Readers familiar with only introductory statistics will find this book accessible, as it includes many worked examples with complete R code, and comparisons are presented with analogous frequentist procedures. The book can be used as a one-semester course for advanced undergraduate and graduate students and can be used in courses comprising undergraduate statistics majors, as well as non-statistics graduate students from other disciplines such as engineering, ecology and psychology. In addition to thorough treatment of 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) samplingModel-comparison and goodness-of-fit measures, including sensitivity to priors.To illustrate the flexibility of the Bayesian approaches for complex data structures, the latter chapters provide case studies covering advanced topics:Handling of missing and censored dataPriors for high-dimensional regression modelsMachine learning models including Bayesian adaptive regression trees and deep learningComputational techniques for large datasetsFrequentist properties of Bayesian methods.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 is made available on the book's website.
