Publicado por CRC Press, A Chapman & Hall Book, Boca Raton, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Idioma: Inglés
Librería: Second Story Books, ABAA, Rockville, MD, Estados Unidos de America
EUR 34,53
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Añadir al carritoHardcover. Octavo, xii, 275 pages. In Good plus condition. Spine is black with white print. Boards in glossy illustrated paper. Text block has ink checks on series page and title page verso. Illustrated: b&w graphs, figures. NOTE: Shelved in Netdesk Column P. 1395241. FP New Rockville Stock.
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Añadir al carritoPaperback. Condición: As New. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Publicado por H N H International Limited, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 44,39
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Publicado por H N H International Limited, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 43,55
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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 49,95
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Añadir al carritohardcover. Condición: Good. 1st 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).
Librería: Books Liquidation, Sacramento, CA, Estados Unidos de America
EUR 50,04
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Publicado por H N H International Limited, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 44,50
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Publicado por Taylor & Francis Ltd, London, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Idioma: Inglés
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
EUR 58,01
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Añadir al carritoPaperback. Condición: 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.
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 58,04
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Añadir al carritoPaperback or Softback. Condición: New. Bayesian Statistical Methods 0.9. Book.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 54,80
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Librería: California Books, Miami, FL, Estados Unidos de America
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Publicado por Chapman and Hall/CRC 2021-06, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 56,48
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Añadir al carritoPF. Condición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 62,25
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EUR 77,92
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Publicado por Taylor & Francis Ltd, London, 2021
ISBN 10: 1032093188 ISBN 13: 9781032093185
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 73,68
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Añadir al carritoPaperback. Condición: 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.
EUR 113,22
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 111,98
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EUR 115,29
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Chapman and Hall/CRC 2019-06-11, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 101,84
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Añadir al carritoHardcover. Condición: New.
EUR 103,08
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EUR 95,10
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Añadir al carritoCondición: 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.
EUR 125,64
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
EUR 115,18
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 520.
EUR 116,69
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Taylor & Francis Group, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 134,05
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Añadir al carritoCondición: New. pp. 274.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 126,74
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Publicado por Taylor & Francis Group, 2019
ISBN 10: 0815378645 ISBN 13: 9780815378648
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 136,63
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Añadir al carritoCondición: New. pp. 274.
EUR 167,50
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Añadir al carritoHardcover. Condición: Brand New. 275 pages. 9.25x6.50x0.75 inches. In Stock.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 67,03
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 63,03
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.